Sr Engineer AI/ML

TEKsystems•Boston, MA

3d•$119,800 - $179,800•Remote

About The Position

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: Role Summary We are seeking an expert AI Engineer with deep proficiency in Python and machine learning to design, develop, and deploy advanced AI-driven solutions. You will collaborate with a talented, diverse team to solve complex business challenges and drive innovation in multiple industries.

Requirements

6+ years of experience in software engineering, data science, or ML engineering roles
3+ years of hands‑on experience building AI/ML solutions on AWS
Proficiency in Python; familiarity with libraries such as NumPy, pandas, scikit-learn, TensorFlow, LangChain and PyTorch.
Hands on knowledge of AWS AI/ML services including SageMaker, BedRock, Amazon Q
Experience with AWS services such as S3/Athena, Lake Formation, Glue, RedShift or EMR
Hands on knowledge in various AWS services like ECS, EKS, Lambda, Event Bridge, S3, DynamoDB, System Manager, API Gateway, ACM, Route53, Cloud Watch
Expertise in prompt engineering, retrieval‑augmented generation (RAG), and evaluation.
Experience with source code and software collaboration technologies (e.g. GitHub, GitLab, BitBucket, Artifactory)
Strong stakeholder‑facing communication.

Nice To Haves

Experience with Generative AI / LLMs (Bedrock, OpenAI, Hugging Face, LangChain, RAG patterns)
Knowledge of data engineering tools and pipelines
Experience with IaC (Terraform, CloudFormation, CDK)
Background in evaluation frameworks, experimentation, and ML observability.
Professional level AWS certification.

Responsibilities

Design, develop, and implement machine learning models.
Propose, design and evaluate AI solutions leveraging sAWS services.
Perform data preprocessing, cleaning, and feature engineering on large datasets.
Train, evaluate, and optimize machine learning and deep learning models.
Apply best practices for model versioning, reproducibility, and performance optimization
Integrate models into scalable, production-ready systems and APIs.
Collaborate with cross-functional teams to define project goals and deliverables.
Document model development processes and findings for future reference.
Stay up-to-date with the latest AI research and best practices.