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For over 40 years, Pete Moffat Construction has earned a reputation for building beautifully designed, enduring custom homes rooted in craftsmanship, integrity, and lasting relationships. Our success stems from the trust we’ve cultivated with clients, trade partners, and our dedicated team. With deep expertise in building science and a passion for quality, we build thoughtfully detailed custom residences designed to stand the test of time.
We foster a collaborative and supportive environment where our team members are encouraged to grow professionally while contributing to projects that reflect the highest standards of residential construction. If you’re passionate about detail-driven, high-quality work and want to make a meaningful impact on every project, we’d love to hear from you.
About the Role
We are currently seeking an experienced Project Engineer to work closely with the Project Manager and Site Superintendent in overseeing and managing the construction of unique, high-end residential projects from pre-construction through completion. In this role, you will help ensure smooth project operations by overseeing project documentation and information distribution while actively supporting the project team to ensure quality and timely execution from design through closeout.
This role is ideal for a self-driven and collaborative individual who excels in communication, has strong attention to detail, and is highly organized with excellent multitasking skills. Success in this role requires the ability to address challenges as they arise while maintaining a proactive, solution-oriented mindset and balancing competing priorities across multiple jobs.
Key Responsibilities
- Support the development of and manage the organization and distribution of project documentation, including change orders, RFIs, submittals, and related construction documents
- Assist in developing scopes of work for subcontractors and issue subcontracts
- Manage subcontractor documentation and compliance requirements
- Produce, organize, maintain, and distribute project and photo documentation
- Assist with tracking project costs and supporting the preparation and management of change orders
- Organize the acquisition and management of materials inventory. Assist in ordering materials and equipment. Ensure that orders are placed on time and are delivered to the site according to the project schedule
- Support with developing the project schedule
- Support with preparing financial reports
- Compile and distribute OAC meeting notes, run OAC meetings when needed
- Coordinate and organize the compilation of project closeout manuals, warranties, and lien releases
- Participate in on-site quality control inspections to help prevent mistakes and omissions
- Perform additional tasks as directed
Qualifications & Skills
- Degree in Construction Management, Civil Engineering, or Architecture, or equivalent industry experience
- 3-4 years of construction or related project engineering roles, preferably in high-end residential construction
- Good understanding of construction processes and materials, with an interest in learning more
- Ability to read and interpret all construction drawings, including shop drawings for cabinets, steel, doors, and windows
- Outstanding organizational, prioritization, and multitasking skills with close attention to detail
- Ability to work as an individual contributor and as part of a larger project team
- Flexibility to adjust and realign when project priorities change
- Excellent oral/written communication and analytical skills
- Experience with construction management software.(Autodesk Build, Procore, CoConstruct, etc.)
- Proficiency in Google Business Suite, Excel, Word, DocuSign, Dropbox, Bluebeam, Plan Grid, MS Project
Why Join Us
- Work on custom, architecturally significant residential projects
- Be part of a team that values craftsmanship, creativity, and continuous learning
- Grow your career with a company that is committed to building not just homes—but lasting relationships
Compensation & Benefits
- Competitive compensation package
- Employee Stock Ownership Plan (ESOP)
- Health insurance and dental reimbursement plan
- Paid time off and additional holidays
- 401(k) retirement plan
- Discretionary Bonus
Location
Our office is based in Palo Alto, California. This position requires regular travel between our office and job sites throughout the Peninsula and San Francisco.
To apply, please submit your resume detailing your employment history, education, certifications, and any relevant training.
Local candidates only.
This position is not eligible for immigration sponsorship.
PMC is not working with third-party recruiters or staffing agencies for this role. Please do not contact PMC employees regarding this position. Unsolicited outreach or resumes will not be considered, and no fees will be paid.
Pete Moffat Construction is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected by applicable law.
Please note: Pete Moffat Construction uses E-Verify to confirm the employment eligibility of all employees we hire. E-Verify is an internet-based system that compares information from your Form I-9, Employment Eligibility Verification, to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.
Are you ready to embark on an exciting journey where your talents are valued, and your potential is limitless? At Deerfield, we believe in fostering a culture of excellence, where every team member is empowered to make a difference and contribute to our collective success.
Deerfield Group is a full-service, integrated marketing, advertising, and communications agency focused on crafting stories that matter and bridging meaningful connections to improve human health. With services spanning omnichannel marketing, insights, creative, digital, media, print, public relations, and analytics, Deerfield is a true Agency of Brand, purpose-built to scale with healthcare companies and brands, whether providing expert consultation, strategic execution, or serving as agency of record. Deerfield Group services are rooted in the science of storytelling and powered by technology to ensure a focused strategy, optimized execution, and tangible outcomes. The company's team of industry leaders and specialists have deep experience working at every stage of a brand's life cycle to partner with executives and marketers to effectively market and deliver products to the patients who need them.
Deerfield Group is built to serve and designed to deliver.
We are seeking a dynamic, seasoned Communications Senior Account Executive (SAE) with a strong background in life science and healthcare PR agency experience to join our client service team. This position can be located remotely or based out of our office in Conshohocken, PA.
The Senior Account Executive (SAE) is a seasoned communications strategist and client counselor with life science PR agency experience, responsible for directing day-to-day account activities and partnering with a multidisciplinary team to execute integrated campaigns. With a strong understanding of the pharmaceutical and healthcare landscape, this person will manage a wide range of projects and apply their innate curiosity to translate complex science into compelling narratives. This encompasses delivering strategic counsel and execution across multiple dynamic focus areas, including: corporate and product communications, brand positioning, digital and content strategy, and public affairs. Furthermore, you will help navigate key scientific data milestones and product launches, while driving internal communications, executive visibility, advocacy relations, and patient and HCP engagement. Utilizing exceptional organizational and communication skills, the SAE excels at understanding client needs, driving cross-functional collaboration, and delivering high-quality materials. By shaping the stories and strategies that build value, you will play a direct role in helping clients advance their vital missions.
Job Responsibilities
Strategic Account & Client Management
- Serve as a trusted day-to-day client contact, managing communications, responding to inquiries, and leading client meetings and interactions.
- Anticipate client needs, identify strategic opportunities, and provide actionable, proactive counsel under the guidance of senior leadership.
- Manage multifaceted projects and timelines simultaneously, delivering stellar service and a consistent, high-quality client experience.
- Develop and maintain a deep knowledge of our clients' business, pipeline developments, the broader healthcare industry, and emerging areas of science.
Scientific Storytelling & Content Development
- Translate complex scientific concepts into compelling content tailored for various audiences.
- Write, edit, and refine a diverse range of materials, including press releases, messaging frameworks, website and social media content, blog articles, backgrounders, and presentations.
- Liaise directly with internal designers, medical illustrators, and team leads to visually bring science stories to life.
- Compile insightful research, internal scientific briefs for client kick-offs, and comprehensive client results reports.
Media Relations & Strategy
- Draft and execute comprehensive media strategies, build targeted media lists, and conduct proactive pitching to top-tier, trade, and local media.
- Draft and/or revise press releases to maximize the impact of client announcements, milestones, and achievements.
- Prepare expert spokespeople by developing briefing backgrounders and arranging/scheduling media interviews.
- Monitor, read, and digest all new and traditional media coverage surrounding client companies and their competitors.
- Respond directly to reporters' information requests and facilitate smooth media interactions.
Team Mentorship & Leadership
- Mentor and support junior staff, including Interns and Account Executives.
- Provide clear guidance and constructive feedback, fostering professional growth while actively refining work before client or agency review.
- Partner with all levels of the team to brainstorm creative strategies and disseminate engaging content.
- Embrace our collaborative environment by stepping in to support team members and overall firm initiatives as needed.
Skills and Experience
- 3+ years of healthcare PR agency experience required
- Bachelor’s degree in related field, or equivalent related experience
- Passion for work in the biotech, health tech or science industries with an innate curiosity about science, technology and the world around you
- Demonstrated ability to “think big” developing new ideas to deliver and delight both our clients and colleagues
- Strong attention to detail while managing projects for multiple accounts with tight deadlines
- Experience in corporate communications, science communications, and/or investor relations a plus
- Excellent written and professional interpersonal communications skills
- Strong organizational skills and ability to work on multiple projects with a high attention to detail
- Strong research and writing skills
- Proficient in Microsoft office products and Google applications; comfortable using various business productivity apps (Spaces, Google Meet, Zoom)
At Deerfield, we are dedicated to building a diverse, inclusive, and authentic work environment, so if this role and our culture excite you, we encourage you to apply even if you do not have the exact experience or meet all of the requirements outlined in this job posting. Our HR team will review your resume and experience to see if you align at a different level or possibly better align to other open positions.
Deerfield is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.
This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.
This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.
Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.
The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.
Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.
Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.
Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.
Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.
Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.
Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.
Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.
Support adoption of metadata management, data catalog, and lineage capabilities.
Ensure analytics solutions align with university standards for security, privacy, and responsible data use.
Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.
Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.
Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.
Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.
Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.
Skill in the use of office productivity software such as Office 365 or Google Workspaces.
Ability to lead presentations and training for large groups.
Ability to manage communications and relationships with technical and business stakeholders.
Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.
Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.
Ability to ensure documentation standards and procedures are implemented for all team responsibilities.
Ability to define deadlines and manage the quality of the work delivered.
Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.
Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.
Physical Demands: Sedentary work.
Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Repetitive motion.
Substantial movements (motions) of the wrists, hands, and/or fingers.
The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.
Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.
One (1) year leading or supervising professional staff.
Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.
Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.
Experience managing or mentoring data professionals in a collaborative team environment.
Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.
Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.
Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.
Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.
Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.
Strong communication skills with the ability to engage both technical and non-technical audiences.
Experience using Jira or similar tools for work intake, project tracking, and prioritization.
Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.
Telework is not a guaranteed work arrangement.
Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.
F1 STEM OPT support is not available for this position.
Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .
Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .
Background Checks: Offers of employment are contingent on completion of a background check.
Information reported by the background check will not automatically disqualify anyone from employment.
Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.
The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.
Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.
All qualified applicants will receive equal consideration for employment.
Please read the University’s Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice See above description for requirements
You've done a ton of Leetcode.
You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand.
On paper, you're everything a tech company wants.
However tech stacks and requirement change every day.
Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.
Synergisticit focuses on closing the gap between your tech skills and what employers want now.
Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
citizens are encouraged to apply.
Note: Internships, freelance, or personal projects will not be considered toward experience requirements.
If you submit your resume, please be advised it may be entered into a central database shared by our JOPP team (our placement program).
You may unsubscribe if you receive emails.
Check the links below: Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Top tech companies are flooded with smart grads.
What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom.
please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Backend vs.
Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Is AI Going to Replace Software Programmers? | SynergisticIT The Market's Changed—Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.
This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:
- Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
- Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
- Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
- Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.
As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.
Relevant background:
- MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
- Excellent publication record.
- Interest in medicine and biology.
- Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.
Preferred, but not required:
- Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
- Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
- Broad experience across diverse AI/ML concepts, including causal inference.
- Publications in leading AI/ML, biology, or medicine conferences and journals.
Keywords:
Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics
How to Apply:
- To receive full consideration, please apply using the following google form: can be directed to
- For more information please visit:
Our client is a forward-thinking consultancy at the forefront of technology and innovation, dedicated to empowering organizations to thrive in an ever-evolving digital landscape. Our clients mission is to help businesses harness the power of data and artificial intelligence to drive growth, enhance customer experiences, and optimize operations.
As they enter their next phase of expansion, they are seeking a GenAI Architect to drive cutting-edge AI/ML projects and turn complex data into actionable insights. You’ll thrive in a client-facing, project-based role, leading teams to design, build, and deploy enterprise-scale models across diverse use cases.
Responsibilities
- Lead project teams and act as the technical architect on AI/ML initiatives.
- Analyze large, complex datasets and translate them into impactful insights using ML and AI techniques.
- Build, implement, and deploy models into production environments, leveraging best practices across cloud and on-prem solutions.
- Collaborate with clients to define requirements, architect solutions, and present technical recommendations.
- Coach and mentor junior team members while driving project success.
Experience
- Proven track record building large-scale AI/ML solutions in enterprise or consulting environments.
- 5+ years of hands-on experience in statistical modelling, analytics, and machine learning.
- Advanced academic background (Master’s in Statistics, Math, Computer Science, or related; PhD is a strong plus).
- Expertise in a wide range of ML and AI techniques: regression models, cluster analysis, predictive modeling, neural networks, deep learning, decision trees, ensemble methods, and more.
- Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face Transformers, and other ML frameworks for model development and experimentation.
- Deep understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
- Experience with modern AI tooling: LangChain, vector databases, prompt engineering, and large-scale data embedding.
- Solid knowledge of relational (SQL) and non-relational (NoSQL) databases, and distributed systems like Hadoop and Spark.
- Ability to turn complex datasets into compelling, actionable insights using visualization tools (RShiny, Python, Tableau, Power BI, D3.js, etc.).
- Passion for mentoring and leading teams, fostering growth and knowledge sharing.
- Experience managing data workflows: wrangling, exploring, transforming, and analyzing diverse datasets.
- Familiarity with monitoring model performance, tuning, and ensuring high-quality data.
- Excellent communication skills with the ability to engage stakeholders at both technical and business levels.
- Strong curiosity and thought leadership, staying ahead of AI/ML trends and research.
- Experience deploying ML models into production on cloud platforms such as Google Cloud Platform, Azure, or AWS.
Please note, our client is unable to support visa transfers at this stage and can hire US citizens or Greencard holders.
If you feel you have the required skills, please get in touch with a copy of your CV! Or email me directly at
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Position Overview
Analytics, Decision Sciences, and Research work as a team, which is uniquely capable of delivering a smartly blended solution by tapping a broad set of analytical skills. The Manager is tasked with partnering with key internal and client teams to oversee measurement, insights and performance optimization deliverables. The ideal candidate can push beyond the obvious answers and quickly use the data, tools, analysis techniques and resource partners to get to the root of story. The Manager is a subject matter expert, but also eager in the desire to learn and further develop the discipline.
Responsibilities
- Ownership of ongoing analytics and measurement programs for media planning and investment solutions
- Work with internal and client stakeholders to development measurement plans including establishing campaign performance benchmarks, media goals, and statistical framework
- Manage dashboard and insights programs across campaigns, competitive intelligence, audience analytics
- Ownership of brand health survey research programs (insights development, presentations, optimization recommendations) including coordination with external measurement partners such as comScore, Research Now, and Kantar
- Responsible for client communication including reporting, requests and questions
- Manage timelines for dashboards and other client insights deliverables
Required Skills and Experience
- Strong understanding of advertising measurement and analytics, with the ability to provide meaningful insight to the client as well as internal teams
- Experience developing insights from third-party ad serving and digital analytics/attribution tools: DoubleClick, Adobe Analytics, Google Analytics, Visual IQ, etc.
- Experience with statistical analysis, including test design and sample requirements
- Proficiency with at least one statistical software package such as R and Python.
- Proven ability to digest and explain complex ideas to a diverse group of stakeholders; including data visualization/dashboards using tools such as Tableau and Datorama
Desired Skills and Experience
- 4-5 years analytical experience, preferably in the advertising or media industry
- General programming experience (SQL, Python, Excel VBA, etc.)
- High proficiency in Microsoft Office suite (Excel, PowerPoint)
- Ability to work under pressure and manage multiple priorities
- Must be a team player but also can work individually
- Experience developing custom measurement solutions; including survey design and fielding
Wage and Benefits
We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.
The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.
Employment Transparency
It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.
For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email .
Salary Range$85,000—$95,000 USD
Role Summary
BrickRed Systems is seeking an experienced QA Engineer specializing in testing LLM agents and AI-driven workflows. This role focuses on evaluating agentic behavior, safety, reliability, grounding, automation quality, and deterministic vs. non-deterministic outcomes across advanced AI pipelines. You will collaborate closely with engineering, product, and AI research.
Key Responsibilities
- Design and execute comprehensive test strategies for LLM agents, agentic workflows, multi-step planners, and tool-using AI systems
- Implement Eval-Loops for continuous, automated evaluation of model performance, drift, consistency, and safety
- Build and maintain Golden Datasets to benchmark model accuracy, grounding, and regression behavior
- Use hill‐climbing evaluation techniques to iteratively improve prompts, policies, and model outputs
- Evaluate and test safety shield models (e.g., ShieldGemma) for content filtering, policy enforcement, and guardrail robustness
- Perform adversarial testing against hallucinations, ungrounded responses, safety violations, and reasoning failures
- Develop automation harnesses using Python, REST APIs, LangChain, PromptFlow, and LLM evaluation frameworks
- Assess agent behaviors across variations in prompts, contexts, tools, and reasoning paths
- Analyze responses for factuality, coherence, instruction-following, policy adherence, and chain-of-thought integrity (when applicable)
- Document findings, build structured bug taxonomies, and partner with engineering teams to resolve issues
- Drive improvements in reliability, latency, determinism, and consistent execution of multi-step agent behaviors
Required Technical Skills
- Strong QA experience (manual + automation) with AI/ML, LLMs, or agentic systems
- Hands-on experience with Python, automation frameworks, evaluation scripts, REST/JSON APIs
- Familiarity with LLM platforms (Azure OpenAI, OpenAI, Anthropic, Google Gemini, etc.)
- Experience with evaluation frameworks such as:
- PromptFlow evaluations
- DeepEval / Ragas / Trulens
- LangChain LCEL evaluations
- Custom scoring functions for grounding, correctness, toxicity, etc.
- Experience using or testing safety-shield models (e.g., ShieldGemma or similar)
- Understanding of techniques such as:
- Hill climbing optimization
- Agent loop testing
- Determinism scoring
- Self-reflection / self-correction evaluation
- Guardrail stress testing
- Scenario-based reasoning tests
- Strong analytical and problem‐solving skills for non-deterministic system behavior
- Excellent documentation, communication, and cross-team collaboration skills
About Brickred Systems:
Brickred Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. Brickred Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence.
With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
