Senior A.I./ Machine Learning Data Scientist (PROPOSAL)

Senior Data Scientist (A.I./ Machine Learning)
Contractor personnel shall perform work onsite located in NW Washington, DC 20551, or partially remotely as directed and approved by Management.
Pending award- 5 year Contract starting January 1 st 2026
Per Federal contract United States citizenship or Permanent Resident Card Required
Must be able to pass federal background investigation
MUST live in 50 miles radius of Washington DC
W2 (Benefits Package Available) or C2C accepted

PROJECT BACKGROUND
As part of our strategic initiatives, We are focused on enhancing the cloud capabilities and expanding the systems to meet growing business demands. As our cloud strategy evolves, the Board is committed to leveraging cutting-edge technologies with the goal to design, develop and implement cloud-based systems and solutions that support our business objectives and meet the evolving needs of our business partners. The complexity of the cloud/multi-cloud environments and architectures require expertise in areas such as infrastructure as code (IaC), containerization, microservices and automation. To achieve this, We are seeking to engage experienced senior to mid-level skilled technical personnel with expertise in cloud architecture, DevOps and security best practices to provide specialized skills, technical expertise and hands- on implementation support. These resources will support hands-on design, development and deployments of a scalable cloud solutions .

We are seeking skilled technical professionals will support various cloud initiatives including but not limited to migration of current technology systems to cloud, optimization of cloud infrastructure, etc. This engagement will leverage technology development best practices and methodologies such as agile, DevOps to deliver robust solutions.

QUALIFICATIONS
At least six years of hands-on experience developing, deploying, and maintaining AI/ML products within a large, professional, or academic organizations.
Bachelor's degree with specialization in a technology related field (Computer Science preferred, Master's preferred) from an accredited college or university, or equivalent combination of directly related education and/or experience.
Advanced proficiency in coding and experience in python and several other programming languages.
Advanced knowledge and understanding in statistical modeling and data analysis techniques, platforms, and software.
Advanced analytical and problem-solving skills.
Advanced knowledge of AI/ML, NLP and Generative AI technologies, frameworks, and solutions.
Advanced knowledge of cloud data platforms, technologies, frameworks, and solutions.
Demonstrated ability to work collaboratively with cross- functional teams and communicate effectively with both technical and non-technical audiences.
Hands-on experience design, developing and deploying AI/ML products into a cloud environment.
Proficiency of existing and emerging trends within the AWS cloud environment
Expert proficiency in Python data science development.
Advanced experience with Natural Language Processing (NLP) techniques like Text Normalization, Named Entity Recognition, and Part-of-Speech (POS). Familiarity with more advanced techniques such as word embeddings. Specific experience popular AI/ML frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost.

Capabilities
Development of New Machine Learning and AI Features/Products:
Collaborate with teams to understand their unique situations, challenges and opportunities. Utilize the knowledge gained to support the curation of potential new opportunities, leveraging AI/ML and Generative AI technologies.
Take a hands-on, iterative approach in researching, designing, and building new machine learning and AI features/products.
Identify the most valuable models and methodologies, implement and train the models, and contribute to their deployment into the production environment.
Maintenance and improvement of operational machine learning (ML) and artificial intelligence implementations:
Establish a detailed technical understanding of existing products that leverage AI/ML and Generative AI technologies - including the training datasets, model training methodologies, technical infrastructure, and model monitoring approach.
Work collaboratively with product owner and architect to maintain a detailed roadmap for AI/ML epics, features, and stories - organizing the tangible work needed to maintain and improve upon our products.
Monitor accuracy and precision of models over time.
Lead efforts to retrain models by expanding upon underlying training datasets, introducing new features, and working with others to ensure training data is of highest quality.

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System One, and its subsidiaries including Joul, ALTA IT Services, TeamPeople, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions 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 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.