Senior AI/ML Engineer

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 opportunities for people to achieve fulfillment through career success. Ready to join us? Hereu2019s what the opportunity supported through our TGS Talent Acquisition Team requires: Position Overview We are seeking a highly skilled and motivated Senior AI/ML Engineer with 5 or more years of experience in data engineering and at least 3 years in AI/ML engineering. The ideal candidate will have hands-on expertise in designing, developing, and deploying secure, scalable, and high-performance ML pipelines ensuring full compliance with industry standard security and risk framework like RMF / NIST / CMMC frameworks. The ideal candidate should have proficiency in Amazon Web Service (AWS) and/or Google Cloud Platform (GCP) with a solid foundation in data engineering, Machine Learning and MLOps cloud-native tools, and data governance. The ideal candidate should be a team player, responsible for the development and orchestration of AI/ML components of various solutions delivered by Data & A/I Practice for our clients. This is a fully remote role throughout the U.S. and entails up to 50% travel to client sites as per project need. Responsibilities u2022 Actively involved in requirement gathering workshops from customers, translating the functional requirements into technical solutions, and translating complex technical concepts into actionable insights for stakeholders. u2022 Actively participate in architectural discussions independently or under guidance / supervision from Practice Architect and/or Lead Engineer to design and develop effective, efficient, reliable, secure, and scalable data engineering solutions as per the overall data management strategy. u2022 Build end-to-end machine learning pipelines using AWS (e.g., SageMaker, Lambda, S3) or GCP (e.g., Vertex AI, Cloud Functions, BigQuery) for training, evaluation, and model lifecycle management and ensure scalability, reliability, and performance of ML models in production environments. u2022 Build, train, and fine-tune models using frameworks like TensorFlow, PyTorch, or Scikit-learn and apply techniques such as hyperparameter tuning, feature engineering, and model evaluation to continuously improve accuracy and efficiency. u2022 Design and implement robust data ingestion, transformation, and storage solutions using cloud-native tools (e.g., AWS Glue, GCP Dataflow) while ensuring data quality, governance, and compliance following industry and/or organizational standards. u2022 Develop and maintain CI/CD pipelines for ML workflows using tools like AWS CodePipeline or GCP Cloud Build automating model deployment, monitoring, and rollback strategies to support continuous delivery. u2022 Implement IAM roles, VPC configurations, and encryption protocols to safeguard data and models following best practices for cost optimization and cloud security. u2022 Collaborate with data scientists, DevSecOps engineers, and cybersecurity SMEs to ensure secure data processing, model deployment and operationalize the deployed models. u2022 Create prototypes and evaluate emerging tools and methodologies to drive innovation within the team. u2022 Occasional support to sales and pre-sales partners to convert opportunity to revenue through thought leadership in the designated area of expertise (AI/ML) Required Skills & Qualifications u2022 Bacheloru2019s or Masteru2019s degree in Computer Science, Data Science, Engineering, or related field u2022 5 or more years of hands-on experience in data engineering (preferably in cloud environment) with 3 or more years of experience in Machine Learning engineering roles, preferably in secure or classified environments u2022 Strong proficiency in Python, PySpark, SQL, Jupyter notebooks, and distributed computing and optionally R, Java, or Scala u2022 Strong understanding of core machine learning, deep learning, and NLP u2022 Deep understanding of cloud-native ML services like Amazon SageMaker, AWS Lambda, GCP Vertex AI, and BigQuery ML. u2022 Proficiency in supervised, unsupervised, and deep learning techniques u2022 Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries u2022 Knowledge of CI/CD pipelines, model versioning, and automated deployment and experience with tools like Kubeflow, MLflow, Docker, and Kubernetes u2022 Production level experience in dealing with structured, semi-structured, and unstructured data from APIs, RDBMS, and/or streaming sources into data lakes or storages (e.g., Snowflake, S3, Google Cloud Storage (GCS), etc.) u2022 Ability to design robust evaluation metrics and monitor model performance post-deployment and experience with drift detection, retraining strategies, and alerting mechanisms u2022 Solid understanding of data privacy, IAM roles, encryption, and compliance standards (e.g., GDPR, HIPAA) and ability to apply the knowledge to implement secure ML solutions in cloud environments u2022 Strong analytical skills to translate business problems into ML solutions as well as troubleshoot complex issues across data, model, and infrastructure layers u2022 Excellent verbal and written communication skills u2022 Ability to work cross-functionally with product managers, data scientists, and engineering teams u2022 Passion for staying updated with the latest in AI/ML research and cloud technologies and ability to evaluate and adopt emerging tools and methodologies Preferred Skills & Qualifications u2022 Familiarity with DoD data strategy, RMF / NIST / CMMC / FedRAMP frameworks u2022 Experience with Generative AI, LLMs, transformer architecture, and prompt engineering u2022 Knowledge of Agentic AI frameworks u2022 Industry recognized associate or advanced level AI/ML certification from AWS/ GCP / Snowflake / Databricks Certification such as: o AWS Machine Learning Engineer u2013 Associate o AWS Machine Learning u2013 Specialty o GCP - Professional Machine Learning Engineer o Databricks Certified Machine Learning Associate o Databricks Certified Machine Learning Professional 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. Benefits are subject to change and may be subject to specific elections, plan or program terms. Our benefit plans include the following: u00b7 Medical, dental & visionu00b7 401(k)/Rothu00b7 Insurance (Basic/Supplemental Life & AD&D)u00b7 Short and long-term disabilityu00b7 Health & Dependent Care Spending Accounts (HSA & DCFSA)u00b7 Transportation benefitsu00b7 Employee Assistance Programu00b7 Tuition Assistanceu00b7 Time Off/Leave (PTO, Paid Family Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Oct 20, 2025. 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 Weu2019re 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. Weu2019re 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. Weu2019re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Weu2019re 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 . 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.

Created: 2025-10-08