Codashop, ML Jobs in Usa
658 positions found — Page 6
About the Role
We’re looking for a Quality Director to lead and evolve our quality function as we scale regulated medical devices that incorporate AI/ML software. This role sits at the intersection of hardware, software, and data science and will be critical in ensuring our products meet regulatory requirements while maintaining development velocity.
You’ll report to the VP of Quality & Regulatory and work closely with Engineering, Regulatory, Clinical, and Operations. The right person for this role is comfortable in a fast-moving environment and knows how to build practical, right-sized quality systems.
What You’ll Do
Lead the Quality Function
- Own and continuously improve our Quality Management System (QMS)
- Lead and develop a small but growing quality team
- Establish KPIs and reporting for executive leadership
- Serve as the quality voice at the leadership table
Ensure Regulatory Compliance
- Maintain compliance with FDA 21 CFR Part 820, ISO 13485, and EU MDR
- Prepare for and lead FDA inspections, ISO surveillance audits, and notified body audits
- Support regulatory submissions from a quality perspective
- Monitor evolving FDA guidance on AI/ML-enabled devices and ensure alignment
Support Product Development
- Embed Design Controls into hardware and software development processes
- Ensure compliance with IEC 62304 for software lifecycle processes
- Oversee risk management activities (ISO 14971), including FMEA and hazard analysis
- Partner with Data Science teams on AI model lifecycle controls (training data management, model updates, change control, performance monitoring)
Post-Market & CAPA
- Oversee complaint handling, MDR reporting, and CAPA processes
- Drive investigations and ensure root cause analyses are thorough and actionable
- Use data trending to proactively identify quality risks
Supplier & Manufacturing Quality
- Establish and maintain supplier qualification and audit processes
- Oversee incoming inspection and production quality controls
- Partner with Operations to ensure scalable manufacturing processes
What you'll do
Experience
- 10+ years in quality roles within medical devices or regulated healthcare software
- At least 3–5 years in a leadership capacity
- Direct experience with FDA inspections and ISO 13485 audits
- Experience supporting both hardware and software products
- Familiarity with AI/ML in a regulated environment strongly preferred
Technical Knowledge
- Deep understanding of:
- FDA QSR (21 CFR 820) and ISO 13485
- ISO 14971 risk management
- IEC 62304 software lifecycle requirements
- Working knowledge of Agile/Scrum environments
- Comfort reviewing technical documentation and working closely with engineers and data scientists
Leadership Style
- Hands-on and pragmatic
- Comfortable operating in ambiguity and growth environments
- Able to push back when needed
- Strong communicator with auditors, executives, and technical teams
Nice to Have
- Experience with Software as a Medical Device (SaMD)
- Background in AI/ML model governance or data quality controls
- ASQ certification (CQE, CMQ/OE, etc.)
- Prior experience in venture-backed or scaling organizations
Mesa, Arizona
Department Name:
Blood Svcs-BDMC
Work Shift:
Night
Job Category:
Lab
MLS -
Find your Voice, Passion, & Purpose
We are proud to offer new base pay rates starting at $31.08 per hour!
POSITION SUMMARY
This position is responsible for a high level of technical knowledge and application of that knowledge to department testing, clinical relevance, and complex problem-solving skills. This position serves as a department resource and is responsible for assisting with department compliance with all pertinent laboratory accrediting agency and regulatory requirements (e.g., CLIA '88, JCAHO, CAP, OSHA). May be responsible for the collection, receipt, and processing of biological specimens into the laboratory.
Performs all functions according to established policies, procedures, regulatory and accreditation requirements, as well as applicable professional standards.
CORE FUNCTIONS
1. Performs testing in an accurate and timely manner according to established policies and performance standards with a knowledge level determined for that testing. Responsible for startup, calibration and accuracy of procedures and instrumentation. Actively participates in problem solving activities within the department, using advanced level of decision-making skills. Demonstrates advanced knowledge and application of all computer systems used in the department. Demonstrates advanced knowledge and application of theory and clinical relevance testing. Assists in ensuring compliance with accrediting agencies and regulatory requirements. Demonstrates ability to assume lead responsibility in absence of on-site departmental leadership personnel.
2. Recognizes, ensures validity, and assists in monitoring abnormal patient and/or QC results of testing. Ensures accuracy of test results. Participates in detecting and documenting occurrences that deviate from defined procedures. Recognizes need and participates in department and LSA/SQL System process improvement and quality assurance activities, including assisting with monitoring of department indicators of productivity and quality.
3. Monitors and controls inventory and assists in providing financial data for the department. Active participation on process improvements in financial performance to decrease costs, improve productivity and improve service.
4. Participates in contributions to additional department/System projects. Active in training of department employees. Actively participates on at least one committee or team or is involved in at least one special project identified with department management. Exhibits awareness of medical/legal consequences of professional actions. May assist in new employee orientation, training and competency. Provides input for competency and annual assessments for employees in appropriate time frames. Completes training module for newly hired/transferred personnel. Note: Unless the employee meets the minimum qualifications defined by CAP for a technical consultant, the employee may not oversee competency assessment.
5. Acts as a department resource by participating in providing educational information to internal and external customers. Demonstrated advanced level of effective verbal and written communication skills. Attendance and participation at staff meetings. Demonstrates preceptor and coaching skills and promotes a constructive environment that encourages learning and development.
6. May process and/or prepare patient samples as required to include the following: 1) specimen collection 2) general laboratory specimen processing and 3) referral laboratory processing. In doing so, ensuring correct patient and specimen identification and specimen integrity.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in medical laboratory science/medical technology, OR
- Bachelor's degree in chemical or biological science (transcripts may be reviewed to determine eligibility) AND certification (MLS or categorical).
- Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation) or other nationally recognized credentialing agency for review to determine eligibility.
- For certain specialty disciplines ONLY (Toxicology, HLA, HCTT, etc.) where no certification is available from a certifying agency, a bachelor's degree with one year of experience in that discipline is required.
- Demonstrated competency in phlebotomy in departments where applicable.
PREFERRED QUALIFICATIONS
- MLS/MT or categorical certification (ASCP, AMT, HEW, AAB).
- Basic knowledge of specimen requirements and knowledge of medical terminology.
- Previous experience with phlebotomy and processing.
- Additional related education and/or experience
MLT -
Find your Voice, Passion, & Purpose
We are proud to offer new base pay rates starting at $28.06 per hour!
POSITION SUMMARY
This position performs waived and non-waived tests as defined by CLIA '88 in an accurate and timely manner with supervision. Assists with department compliance with all pertinent laboratory accrediting agencies and regulatory requirements (e.g., CLIA '88, JCAHO, CAP, OSHA). Personnel report to department supervisor. May be responsible for the collection, receipt, and processing of biological specimens into the laboratory.
Performs all functions according to established policies, procedures, regulatory and accreditation requirements, as well as applicable professional standards.
CORE FUNCTIONS
1. Performs testing in an accurate and timely manner according to established policies and performance standards with a knowledge level determined for that testing. Responsible for startup, calibration and accuracy of procedures and instrumentation. Exercises independent judgment and can identify appropriate resources in performance of assigned duties utilizing knowledge and skills. Demonstrates comprehension of theory and clinical relevance of testing. Demonstrates problem resolution and decision-making skills for routine operational and technical problems. Demonstrates knowledge of computer systems used in the department and can perform basic troubleshooting of computer problems. Demonstrates awareness and complies with accrediting agency and regulatory requirements related to area of responsibility.
2. Recognizes and ensures validity of abnormal patient and/or QC results for testing. Ensures accuracy of test results. Participates in detecting and documenting occurrences that deviate from defined procedures. Demonstrates appropriate resolution and follow through for problem solving identified during testing. Promotes and consistently meets department standards for productivity and quality
3. Ensures the appropriate use of supplies and materials and assists with inventory management. Ensures efficient utilization of reagents and supplies. Recognizes and provides input towards opportunities for improvements in financial performance to decrease costs, improve productivity, and improve service.
4. Self-directed and motivated to contribute to projects identified by the supervisor. Seeks out opportunities to identify projects relating to department needs. Active in training of laboratory personnel. Performs well in supervisor's absence and provides guidance on issues relating to pre-analytical, waived and non-waived testing. Completes all required training modules.
5. Communicates courteously, professionally, effectively and accurately with internal and external customers. Participates in the resolution of communication issues. Knows and utilizes appropriate resources for increased levels of problem solving. Demonstrates good verbal and written communication skills. Promotes positive communications that enhances teamwork. Attendance and participation at staff meetings.
6. May process and prepare patient samples as required which can include the following: 1) specimen collection 2) general laboratory specimen processing and 3) referral laboratory processing. In doing so, ensuring correct patient and specimen identification and specimen integrity.
MINIMUM QUALIFICATIONS
- Applicant must meet one of the following criteria to qualify:
- Associate degree in a laboratory science (chemical or biological science) or medical laboratory technology from an accredited institution, or
- Bachelor's degree in chemical or biological science (transcripts will be reviewed to determine eligibility).
- Equivalent laboratory training and experience meeting the requirements defined in the CLIA regulation 42CFR493.1489, or
- Meet other criteria defined in 42CFR493.1489 or 42CFR493.1491 (including US military medical laboratory procedures training courses)
- Individuals working in the state of Nevada or California are required to maintain their certification throughout their time in position.
- Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation) or other nationally recognized credentialing agency for review to determine eligibility and translated diploma.
- Demonstrated competency in phlebotomy in departments where applicable.
PREFERRED QUALIFICATIONS
- MLT certification (ASCP, AMT, HEW, AAB).
- Basic knowledge of specimen requirements and knowledge of medical terminology.
- Previous experience with phlebotomy and processing.
- Additional related education and/or experience.
EEO Statement:
EEO/Disabled/Veterans
Our organization supports a drug-free work environment.
Privacy Policy:
Privacy Policy
GENERAL SUMMARY:
The Manager of AI Enablement (Senior) leads the development and execution of Element Care’s internal approach to artificial intelligence. This role defines AI standards, policies, and best practices while enabling staff across the organization to adopt AI safely, ethically, and effectively. Reporting to the IT department, this position acts as a trusted advisor to leaders and end users, shaping AI governance, vendor strategy, training, and enterprise enablement.
ESSENTIAL RESPONSIBILITIES:
• Define and maintain organizational AI standards, policies, and governance frameworks.
• Lead the deployment of off-the-shelf AI solutions, including ambient documentation, predictive analytics, administrative automation, and clinical decision support tools.
• Enable responsible use of generative AI across administrative and operational functions.
• Conduct continuous workflow analysis to identify automation and AI-enablement opportunities.
• Evaluate AI and AI/ML models, tools, and vendor solutions for suitability, risk, and value.
• Partner with IT, data, analytics, and platform teams to align AI initiatives with enterprise architecture.
• Provide oversight and guidance on AI-enabled workflows, automation, and agent capabilities.
• Measure, monitor, and report on AI initiative outcomes, value realization, and performance.
• Build business cases and recommendations for future AI investments.
• Serve as the primary advisor to leaders and teams on AI use cases, risks, and governance.
• Monitor regulatory, ethical, and industry developments related to AI.
• Help establish and mature a scalable AI enablement and governance operating model.
• Influence adoption and consistency without direct authority.
• Perform other duties as assigned.
JOB SPECIFICATION:
• 6–10+ years of relevant professional experience, including applied AI, automation, analytics, or emerging technology leadership.
• Demonstrated experience evaluating AI/ML models, vendor solutions, or AI platforms.
• Experience with vendor management, solution selection, or hands-on implementation required.
• Demonstrated experience defining standards, policies, or enterprise enablement programs.
• Healthcare or other regulated industry experience strongly preferred.
• Strong understanding of applied AI, AI/ML evaluation, governance, risk, and ethical considerations.
• Ability to translate complex concepts into practical organizational guidance.
• Experience developing business cases and value narratives for technology investments.
• Executive-level communication and facilitation skills.
• Proven ability to operate independently and influence across the enterprise.
• Strategic mindset with a pragmatic, implementation-oriented approach.
Compensation details: 13 Yearly Salary
PI71b2d5685c13-3631
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.
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
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
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-
The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.
This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.
Responsibilities
- Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
- Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
- Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
- Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
- Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
- Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
- Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
- Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
- Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Relocation assistance is not provided for this role.
Basic Qualifications
- 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
Preferred Qualifications
- 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
- 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
- Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
- Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
- Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
- Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
- Proficiency in Python (primary) and familiarity with Java, Scala, or R.
- Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5‑10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
#J-18808-Ljbffr
Education: Bachelor's degree
Licensure:
Experience:
a. up to 3 years acceptable clinical laboratory experience as a certified MLS/MT or equivalent or certification eligible new MLS graduate
Certifications: Current certification as MT/MLS or categorical certification, through ASCP or equivalent
Other:
Preferred Education:
Preferred Licensure:
Preferred Experience:
Preferred Certifications:
Preferred Other:
From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.
Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.
Qualifications: MLT - At least two years of college education and graduation from an approved MLT program or equivalent. Certification or equivalent is preferred if hired prior to 3/1/2024; required within 12 months for those hired/transferred into this position on or after 3/1/2024. No prior experience required for graduate of approved MLT program (certification eligible). Some knowledge of laboratory testing procedures. Some skill in performing various laboratory procedures and collecting specimens. Good customer service skills.
MLS - Bachelor's degree from an accredited college or university. MT/MLS/CLS certification or equivalent is preferred if hired prior to 3/1/2024; required within 12 months for those hired/transferred into this position on or after 3/1/2024. No prior work experience required for graduate of approved MT/MLS/CLS program (certification eligible). Thorough knowledge of laboratory testing procedures and equipment. Considerable skill in performing various laboratory tests and troubleshooting methodology and quality issues. Effective communication skills and ability to lead a laboratory workgroup.
EOE AA M/F/Vet/Disability
Digital Product Manager – Personalization Intelligence
BJ’s Wholesale Club is seeking a Product Manager – Personalization Intelligence to lead the next evolution of our data-driven personalization strategy. This is a high-impact transformation role responsible for scaling intelligent, model-driven personalization across all member touchpoints — including site, app, email, push, SMS, and emerging channels.
You will define and drive the roadmap that powers how millions of members experience BJ’s — delivering measurable incremental revenue, stronger loyalty, and deeper engagement through advanced personalization capabilities.
This role sits at the intersection of product, data science, engineering, marketing, and digital — translating business strategy into scalable machine learning–powered solutions.
What You’ll Own
Personalization Strategy & Roadmap
- Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints.
- Drive clarity in business goals, measurable outcomes, and prioritization tied to incremental revenue and engagement.
- Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale.
ML-Powered Personalization Capabilities
- Partner closely with Data Science to design, build, and scale: Recommendation systems, Propensity and propensity-to-buy models, Predictive engagement and churn models
- Own the end-to-end ML model lifecycle from ideation and business case through training, testing, deployment, and ongoing optimization
- Translate model outputs into actionable, testable personalization strategies.
Experimentation & Measurement
- Define clear hypotheses and testing frameworks to measure incremental lift.
- Collaborate with analytics to establish robust tracking, experimentation design, and performance reporting.
- Monitor and interpret key ML performance metrics and business KPIs.
- Own and deliver the product roadmap for Personalization Intelligence, driving clarity in goal definition, accountability for business outcomes, and focused execution.
Qualifications:
- 4+ years of Product Management experience
- Demonstrated experience delivering personalization, recommendation systems, Propensity/propensity-to-buy models, and other predictive models
- Retail or e-commerce experience strongly preferred
- Strong communication skills and experience working with Stakeholders (data science, engineering, business)
- Strong product discovery, prioritization, and stakeholder management skills
