Description 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. Key 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. Required Skills & Experience • 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 Have Skills • 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. Skills Architecture, Cloud, google cloud, Design, Development, Professional services, artificial intelligence, machine learning, Gcp, Artificial intelligence software, docker, kubernetes Top Skills Details Architecture,Cloud,google cloud,Design,Development,Professional services,artificial intelligence,machine learning,Gcp,Artificial intelligence software Experience Level Intermediate Level Job Type & Location This is a Permanent position based out of Baltimore, MD. Pay and Benefits The pay range for this position is $119800.00 - $179800.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: • Medical, Dental, and Vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life and AD&D for employee and dependents) • Short and Long-Term Disability • Health Spending Account (HSA) • Transportation Benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Mar 20, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.