Colab Python Compiler Jobs in Usa

The Manager - Data Science and Analytics plays a critical role in revenue and margin management for the Merchandising organization by performing various pricing analyses to exceed the financial targets. This highly visible individual will manage the daily and weekly promotions for print and digital marketing vehicles, so to be successful, strong analytical skills and business savviness is vital. This Team Member will develop and use analytics tools to draw insights and provides actionable recommendations while exhibiting higher-order critical thinking under ambiguous situations.

Major Activities

• Machine Learning Forecasting: Maintain, regularly run, and potentially adjust time-series forecasting pipelines with backtesting, accuracy diagnostics, drift detection, and ongoing monitoring.
• Pricing optimization: Maintain, regularly run and potentially adjust pricing/markdown optimization engines (e.g., Gurobi, CP-SAT), including feasibility checks, constraint adjustments, relaxations, and scenario analysis.
• Mathematical modeling: Translate new business rules (e.g., new constraints for pricing) into robust mathematical formulations.
• Production engineering: Maintain a modular codebase across forecasting, optimization, and data workflows; keep ensure code quality, test coverage, and documentation. Maintain overrides to handle data quality issues.
• Reporting & impact measurement: Own reporting for the pricing engine, turn recommendations into stakeholder-ready insights and quantify business impact.
• Cross-functional collaboration: Partner with Merchants and Pricing Advisory to translate business needs into features for retail pricing algorithm
• Develop and implement user-friendly analytics dashboards and tools that perform complex analysis manipulating large data sets to identify actionable business insights
• Initiate, partner with internal teams on process improvement initiatives
• Ad-hoc projects as identified by the supervisor

Other duties as assigned

Preferred Education/Experience

• Bachelor’s Degree or equivalent experience required.
• Advanced MS Excel required.
• Proficiency in forecasting and machine learning: Ability to build and deploy time-series forecasting models including feature engineering and robust backtesting & monitoring.
• Data manipulation and analysis: Strong ability to work with large datasets using Python (pandas/NumPy) and SQL, performing clean feature creation and diagnostic analysis.
• Data Engineering: Previous experience building DBT ETLs on cloud-based warehouses like BigQuery and working in Vertex AI.
• Problem-solving ability: Strong analytical skills to decompose complex business problems, balance solution quality vs runtime, and implement pragmatic fallbacks.
• Master’s degree in economics, data analytics, or math related field preferred

Minimum Type of Experience Required

• 7+ years of relevant work experience

Other

• SQL and Python required, Tableau or Power BI is preferred

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

This role supports teams by developing and maintaining financial and operational reports, dashboards, and analytics. The position ensures accurate budget tracking, performance monitoring, and executive reporting to support reliability, compliance, and strategic decision-making.

Key Responsibilities

• Develop and maintain financial and program performance reports and dashboards.

• Track budgets, forecasts, and expenditures for vegetation and infrastructure programs.

• Perform variance and trend analysis.

• Extract, validate, and reconcile data from enterprise systems.

• Utilize SAP, Power BI, Databricks, SQL, and Python to support reporting and analytics.

• Support management, regulatory, and audit reporting.

• Automate and improve reporting processes.

• Provide ad hoc analysis for leadership and business partners.

Required Qualifications

• Bachelor’s degree in finance, Business Analytics, Information Systems, or related field.

• 3+ years of experience in financial analysis or reporting.

• Advanced Excel skills.

• Experience using SAP, Power BI, Databricks, SQL, and Python.

• Strong analytical, organizational, and communication skills

Preferred Qualifications

• Utility or regulated industry experience.

• Experience supporting large operational or capital programs.

Hybrid - 3x onsite a week

What we’re looking for:

We are seeking a skilled and proactive Application Security Analyst to integrate security practices into our DevOps processes. The ideal candidate will work closely with development and operations team to ensure secure software delivery pipelines, automate security controls, and foster a culture of shift left in the organization.

What you’ll be doing:

• Design, implement, and maintain secure CI/CD pipelines.
• Integrate security tools (SAST, DAST, SCA, etc.) into development workflows.
• Collaborate with development and operations teams to remediate vulnerabilities.
• Automate security testing and compliance checks.
• Monitor and respond to security incidents in cloud and container environments.
• Develop and enforce security policies, standards, and procedures.
• Stay current with emerging security threats and DevSecOps best practices.

Requirements:

Qualifications/ What you bring (Must Haves):

Highlight Top 3-5 skills:

• Bachelor’s degree in Computer Science, Cybersecurity, or related field.
• 3+ years of experience in DevOps, Security Engineering, or related roles. 2-3 years of security experience. Overall, 6 years
• Strong understanding of CI/CD tools (e.g., Jenkins, Harness).
• Development knowledge on Java, Python, .Net, etc
• Experience with security tools (e.g., Veracode, GHAS, Orca).
• Proficiency in scripting languages (e.g., Python, Bash).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cloud platforms (AWS, Azure, GCP) and their security features.
• Understanding of secure coding practices and application security principles.
• Knowledge of Infrastructure as Code (Terraform, Ansible).

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Emmadi Srikanth

Email:

Tangram Flex is seeking a Software Technical Leader with 8+ years of experience to contribute to the design, development, and delivery of Tangram’s transformative and impactful technology to implement mission-critical software solutions. This role is a blend of high-level technical architecture and direct contributions to customer program success, requiring a leader who can guide engineering teams through the entire engineering process from program kickoff to final delivery and customer success.

What We Do: Our team and products provide solutions to enable innovators to design, develop, verify, and advance critical systems, while accelerating innovation that advances our nation's security. By accelerating delivery of critical systems, Tangram is transforming the way our nation solves complex software challenges.

POSITION DESCRIPTION/

The Software Tech Lead provides strategic and tactical technical leadership for software product design and hardware-software integration programs. You will be responsible for defining the technical vision of a program, ensuring it aligns with customer goals, and to manage and contribute to the day-to-day engineering execution to deliver performant, secure software solutions for Tangram’s customers.

JOB RESPONSIBILITIES/

Program Strategy & Kickoff:

• Technical Architecture and Strategy: Collaborate with our customers and Engineering Leadership to identify technical strategies, customer and team goals, and define deliverables to meet or exceed expectations.
• Program Kickoff and Internal Alignment: Collaborate with Program Managers (PMs) and Engineering Leadership to develop and present technical approach slides for Internal Kickoffs, communicating milestones, technical tasks, and skillsets needed to internal stakeholders and executive leadership.
• Resource Allocation: Identify necessary skillsets and time investments required to achieve program goals, working with the Director of Engineering to ensure proper team staffing.

Technical Leadership & Execution:

• Engineering Oversight: Manage a team of software developers as well as directly contribute to design, write, and test code in relevant languages (ex. C, C++, Java, Python) while maintaining high standards for code reviews and merge requests.
• Testing and Verification Leadership: Oversee the team's testing and verification strategy, including defining and enforcing quality gates, ensuring comprehensive unit, integration, and system testing, and validating that all delivered software meets the highest standards for performance, security, and customer-defined requirements.
• Technical Project Tracking: Lead the breakdown of technical work into manageable Epics, Milestones, and Issues, ensuring progress is delivered successfully.
• Mentorship: Innovate and mentor a team of engineers, leading them on top of tech trends (e.g., DevSecOps for embedded) and fostering a culture of continuous learning.

Customer Engagement & Growth:

• Technical Partner: Act as the Subject Matter Expert (SME) point of contact for customers in articulating technical requirements, outlining technical expectations, and leading high-stakes customer demonstrations.
• Tangram Solutions Alignment: Identify opportunities to utilize Tangram products in conjunction with new and existing technology to create solutions for our customers
• Business Expansion: Provide technical feasibility inputs to the Growth team and Portfolio Managers to shape follow-on opportunities, develop technical proposals, and contribute to the "Future Phase" strategy for customer relationships.

DESIRED SKILLS & EXPERIENCE

Required Skills:

• Education: BS in Computer Engineering, Computer Science, or Electrical Engineering or equivalent.
• Experience: 8-10+ years in software product development with a strong focus on embedded systems and software integration.
• Leadership: Proven experience in a technical leadership role (e.g., Tech Lead, Chief Engineer, or Principal Investigator) managing full-lifecycle delivery to programs.
• Technical Mastery: High-level C/C++ skills, proficient in software architecture design, ability to resolve ambiguities of requirements, deliverables, and presentation approach
• Clearance: Current/recent U.S. Government Security Clearance (or ability to obtain one). U.S. Citizenship is required.
• Communication: Strong skills in communicating technical concepts with technical and semi-technical audiences

Preferred Skills:

• MS/PhD in Computer Engineering or related field.
• Expertise in Python, Rust, or Java.
• Experience with GitLab CI/CD and agile-based project tracking .
• Technical experience working in support of the Department of Defense/Department of War or the Defense Industrial Base.

Physical Requirements:

• Ability to travel to client sites, conferences, and lab environments.
• Visual and auditory acuity to participate in meetings and customer demonstrations.
• Ability to handle and transport demo equipment (up to 25 lbs).

WHY JOIN TANGRAM FLEX?

• Team First Culture: Supportive environment headquartered in Dayton, Ohio with hybrid work options and flexible hours.
• Growth-Oriented: Opportunities for internal and external technology community participation and leadership.
• Full Benefits: Employer-paid Medical/Dental/Vision, generous PTO, and competitive 401K match.

Tangram Flex is an Equal Opportunity Employer, and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its application procedures and in accordance with federal law. All qualified candidates will receive consideration for employment based on business needs, job requirements, and individual qualifications.

EEO/AA Vet/Disabled Employer/ and E-Verify

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.

The opportunity

Unity's Vector AI team sits at the intersection of large-scale machine learning and real-world impact: our models govern ad ranking and bidding decisions across billions of daily impressions. Get the models right so players can discover games they love.

We're looking for an Applied Scientist with experience on user understanding, sequence modeling, and/or conversion prediction.

What you'll be doing

• Design and ship user behavior models that directly influence ad ranking, bidding, and conversion outcomes across billions of impressions.
• Own model quality from deployment onward: calibration, drift detection, and feedback loop management.
• Shape how the team builds, contributing to long-term technical strategy and overseeing engineering execution.
• Bridge the gap between ML complexity and business reality, communicating clearly with non-technical partners.

What we're looking for

• Ph.D. in Computer Science, Machine Learning, Statistics, related fields, or equivalent practical experience.
• 2+ years of hands-on experience designing, building, and operating ML systems at scale in ads, search, recommendations, or related domains.
• Deep familiarity with at least one of: CVR/CTR prediction, auction theory, user modeling, or sequential recommendation.
• Production experience in Python and at least one systems language (Go, Scala, C++, or similar).
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data.

You might also have

• Experience with real-time bidding systems, auction dynamics, or marketplace optimization.
• Publications or patents in relevant areas.

Additional information

Relocation support is not available for this position

Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at

Role Overview

We are seeking a technically strong Embedded Validation Engineer to serve as the Controls and Quality Assurance (QA) point of contact for lab validation and sustaining programs. The role focuses on requirements-based validation, disciplined test execution, defect reporting, and traceability across multiple product programs.

The ideal candidate will work closely with Systems Engineering, Product Development, and QA teams to validate embedded control systems, execute lab testing, and improve test automation and validation processes.

Key Responsibilities

Requirements-Based Validation

• Collaborate with Systems Engineering teams to derive validation strategies and test plans from system requirements.
• Develop and maintain requirement-to-test case traceability.
• Ensure validation activities align with product specifications and engineering requirements.

Lab Test Execution

• Serve as the Controls Validation Point of Contact (POC) for lab validation activities.
• Execute validation tests on prototype hardware and embedded control systems.
• Document test procedures and record pass/fail outcomes with technical accuracy.

Documentation & Traceability

• Maintain organized test documentation including test plans, execution logs, and validation reports.
• Ensure traceability between requirements, test cases, and defect reports.

Defect Reporting & Tracking

• Identify, document, and report defects with clear technical descriptions and reproducible steps.
• Collaborate with development teams to analyze root causes and track defect resolution.

Reporting & Quality Reviews

• Prepare concise 2–3 slide technical summaries of test results and validation findings.
• Present validation updates during PRQRB/SQA or departmental review meetings.

Test Bench & HIL Development

• Design and build test bench setups and Hardware-in-the-Loop (HIL) simulators for validation.
• Support legacy platforms and existing validation environments.

Automation Development

• Contribute to Python-based test automation and validation frameworks.
• Identify opportunities to improve test efficiency through automation.

Product Support & Continuous Improvement

• Support new product development, sustaining engineering, and validation process improvements.
• Drive enhancements in test infrastructure, lab workflows, and validation methodologies.

Required Qualifications

• Bachelor’s degree in Controls Engineering, Software Engineering, Electrical Engineering, or related field.
• 5+ years of experience in embedded systems validation, SQA, or controls testing.
• Strong understanding of Software Quality Assurance (SQA) fundamentals, including test execution and documentation.
• Experience validating embedded control systems and equipment controls.
• Hands-on experience with lab-based validation and prototype testing.
• Knowledge of controls inputs/outputs, sensors, and system interfaces.
• Experience with bench wiring, test setup, and instrumentation.
• Strong analytical skills and familiarity with engineering basics such as heat exchangers and unit conversions.
• Experience with Python scripting and test automation.

Apply here: (s) Ruru Hoong, Anya Shchetkina, and Jimin Nam (MIT Sloan) are seeking motivated and detail-oriented individuals to work as full-time pre-doctoral researchers. The position involves close collaboration with 1-2 faculty members (depending on research interests) on empirical research projects related to digital technologies, advertising, and AI. You will contribute at all stages of the research process — from data collection and cleaning to analysis and writing. Some structural modelling or applied ML methods development may be involved if of interest.

Active and planned research projects include: 

• The design of information for human-AI collaboration
• The impact of generative AI on worker productivity, task allocation, and organizational design
• The design of AI-driven hiring tools, such as optimizing voice-AI interviews for candidate screening
• Youth, social media, and smartphones
• The effects of AI on education and learning, including adaptive AI tutoring and path dependence in AI product rollout
• AI and wellbeing, including how generative AI tools affect individual and worker wellbeing
• Household and business surveys on electricity in Ghana
• Mechanization and preferences - marketing in 19th Century tea
• Measuring advertising effectiveness with aggregate data
• Experimental design under privacy constraints
• Identifying limits of targeting and personalization effectiveness 

Methods used across these projects include randomized controlled trials, experiments, machine learning, natural language processing, large language models, probabilistic ML, and adaptive learning (bandits and Bayesian optimization).

A core goal of the position is to prepare you to apply to and succeed in PhD programs in marketing, economics, management, operations or related fields. We will work together to develop your research skills — beginning with careful research workflow and attention to detail, and progressing toward more independent analysis over time. We will also collaborate on other elements of your preparation, including independent research, letters of recommendation, and coursework planning. You will be encouraged to attend seminars and engage with the broader research community at MIT Sloan and across MIT.

You do not need to arrive with a polished skill set; the purpose of a predoc is to also help you develop that training. What matters most is a genuine interest in these research questions, a willingness to learn, and the determination to see difficult problems through. 

Principal responsibilities

• Collect, clean, and manage large-scale quantitative and qualitative datasets across active research projects related to marketing, digital economics, and AI
• Conduct empirical analysis using methods such as causal inference, machine learning, NLP, and experimental design
• Contribute to all stages of the research process — from literature review and data collection through analysis and writing
• Design and implement surveys and experiments using tools such as Qualtrics and oTree
• Write, review, and maintain reproducible research code in Python, R, or Stata, including responsible use of AI coding tools
• Other duties as needed

Qualifications

• A Bachelor's degree with strong grades, ideally in a quantitative field
• Comfort with or eagerness to learn programming (Python, R, or Stata) and experimental tools (Qualtrics, oTree)
• Willingness to experiment with AI coding tools (e.g., Claude, Cursor, Copilot) while maintaining a healthy skepticism — you should be prepared to understand and review every line of code these tools generate
• A long-term interest in pursuing a PhD in marketing, economics, management, operations, or a related field.
• A familiarity with causal inference or Bayesian statistics is welcome but not required
• Prior research experience is a plus but not a prerequisite
• Careful attention to detail — the kind of person who double-checks a merge and notices when a number doesn't look right
• Curiosity, initiative, and the persistence to work through open-ended problems
• The ability to work independently
• Visa sponsoring will not be available for this position. Candidates should have authorization to work in the US for the duration of the appointment. 

The position is located at the MIT Sloan School of Management in Cambridge, Massachusetts. The default start date is July 1, 2026, with some flexibility to begin earlier or later. The position typically lasts 1-2 years prior to entering a PhD program. Salary is competitive with other pre-doctoral research positions (50-63k). Applications will be reviewed on a rolling basis.

Application Instructions

If you are interested, please submit the following:

• A one-page cover letter describing your background, research interests, coding experience, and future goals. Please indicate which of the research areas listed above interest you most and why.
• A CV
• A transcript
• A writing sample — a research paper, term paper, or thesis that reflects your analytical abilities
• (optional) A code sample you have written, with a brief summary of what it does and the outputs it produces
• The names and contact information of two references
• Applications will be reviewed on a rolling basis starting early March until the position(s) are filled.

** To comply with regulations by the American with Disabilities Act (ADA), the principal duties in position descriptions must be essential to the job. To identify essential functions, focus on the purpose and the result of the duties rather than the manner in which they are performed. The following definition applies: a job function is essential if removal of that function would fundamentally change the job.

Role: Cybersecurity Engineer III

Location: MD – Silver Spring, DC, or ATL – Techwood - Onsite

Job Description

Job Responsibilities / Typical Day in the Role

• Implement design reviews to evaluate security controls

• Identify and communicate opportunities to enhance the security posture of WBD

• Build and / or manage enterprise security platforms effectively

• Communicate effectively across all levels of management to articulate WBD security goals and vision.

• Identify and communicate opportunities to enhance the security posture of WBD

• Build and / or manage enterprise security platforms effectively (SAAS, on premise or in Cloud)

• Communicate effectively across all levels of management to articulate WBD security goals and vision.

• Have a team player mentality; strive to contribute to team cohesion however can work independently if the need arises

• Plan, design, engineer and implement security-related technologies

• Understanding technical security issues, their implications within WBD business units and able to effectively communicate them to management and other business leaders.

• Configure, troubleshoot, and maintain security infrastructure – including software and hardware in cloud environments, as well as on-premises.

• Conduct security audits and assessments to regularly determine the effectiveness of security platforms and identify areas of improvement.

• Host and operating systems hardening, auditing, monitoring and logging with appropriate security controls and best practices while meeting security best practices and business goals

• Research and explore emerging security technologies and determine their appropriate use within the company.

• Prepare, document, and create standard operating procedures and protocols.

• Crosstrain and mentor other team members as needed

Must Have Skills / Requirements

1) Implementing advanced cyber security technology in a complex environment

a. 5+ years of experience; Hands-on experience in security engineering, hands-on experience in building, designing, and maintaining enterprise security tools.

2) Scripting experience (using Python, Go, or other equivalent languages)

a. 5+ years of experience.

3) Hands-on Experience with automation technologies

a. 3+ Years of experience; Terraform, Ansible, CloudFormation, etc.

4) Linux Experience.

a. 5+ years of experience; Ability to construct and maintain complex network infrastructures.

Technology requirements:

• Engineer and administer security platforms including SIEM/SOAR systems, endpoint detection and response, vulnerability management, anomaly detection, and cloud analysis.

• Experience in managing the Brinqa vulnerability management platform and experience with Groovy programming language

• Must have 5+ years of scripting experience (using Python or other equivalent languages)

• Hands-on Experience in public cloud infrastructures like AWS (Amazon Web Services)

Nice to Have Skills / Preferred Requirements

1) Security and Cloud certifications are a plus. (CISSP, Splunk Admin, AWS Solution architect).

2) Media/entertainment or distributed global network experience.

Soft Skills

1) Hands-on technical experience with networking and computing system architectures, specifically, the security aspects thereof.

2) Thorough understanding of information security principles, techniques, principles, policy frameworks, and best practices

3) Hands-on technical experience with compliance and regulatory frameworks and how they affect architecture designs and review

Education / Certifications

1) None required, but certifications preferred.

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

At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at