• Data Scientist Sr - Contractor

    System One (Pittsburgh, PA)


    Please send your updated resume at [email protected]

     

    Data Scientist

     

    Hybrid 3 days Onsite 2 days remote

     

    Pittsburgh PA, Cleveland OH, Strongsville, Birmingham AL, Dallas, TX, Phoenix

     

    Contract

    Roles and Responsibilities:

    + Collaborate with other data scientists, data engineers and DevOps engineers to help build and deploy models using SageMaker in a hybrid environment

    + Coordinate the build and automations for the entire MLOps pipeline including data and features, model (re)developments, deployment and ongoing monitoring of inference endpoints and model performance

    + Implement automated monitoring and alerting systems to detect and remediate potential issues proactively

    + Look for opportunities to optimize timelines, resource utilizations and resiliency of end-to-end MLOps process

    + Collaborate for the development and integration of customized LLMs to enhance data analysis, natural language understanding, and generation tasks for agentic systems

    + Stay updated on the latest developments, explore and experiment to push boundaries and contribute to team and intellectual property development

    Must Have Technical Skills:

    + Python and PySpark proficient

    + Statistical analysis with data cleaning and augmentation experience

    + Strong footing on ML algorithms and their suitability for varied use cases

    + Deep learning and NLP experience (TensorFlow/PyTorch, BERT/GPT-3, etc.)

    + AWS SageMaker and additional AWS services (Lambda, StepFunctions, etc.)

    Flex Skills/Nice to Have:

    + Fine-tuning LLMs, SageMaker pipelines, Infrastructure-as-a-code (IaaC), CI/CD, Model Monitoring, Explainable AI (XAI)

    Education/Certifications:

    + AWS Certified Machine Learning – Specialty

    + AWS Certified DevOps Engineer – Professional

    + Other Cloud Solution Provider (CSP) certifications in these areas will also count

    + Additional Data Science and LLM focused certification will be a plus

    Screening Questions:

    + Explain MLOps and key components of that in context of AWS SageMaker or similar experience?

    + Explain an end-to-end MLOps implementation on SageMaker and if the same had to be implemented in a hybrid state?

    + What are some common LLM architectures and explain how they work?

    + How would you approach fine-tuning an existing LLM for a specific domain?

    + How do you evaluate a model’s performance and specifically what metrics would you use to perform this task for an LLM or a model grounded on an LLM?

     

    Ref: #404-IT Pittsburgh

     

    System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

     

    System One 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, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.