• Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas. • Mentor and guide junior engineers, fostering a culture of learning and technical excellence. • Work with large and complex textual and visual datasets. • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services. • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types. • Productionize and automate model pipelines within Python services. • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.

About The Role: As a Senior Machine Learning Operations Engineer you’ll be embedded in a team of talented data scientists and software engineers to create sophisticated models that answer hard questions centered around improving our logistics network and user experiences. This role bridges between ML platform work and building on top of our platforms to create new models. You’ll create the infrastructure and tooling necessary to deploy, monitor, and scale our machine learning models in production. In close collaboration with data scientists you’ll own our production models, ensuring optimal performance and responding to production incidents. A great candidate: - Is an expert in their craft, creating high quality ML infrastructure and delivering impactful machine learning models to our stakeholders. - Works in close collaboration with the other Data Science team members and keeps the business value at the center of their work. Has a bias for action, balancing delivering impact in the short-term while building out the long term vision. - Applies their ML / MLOPS knowledge to suggest new patterns, tools, approaches to improve the team’s models What you’ll do: - Build reliable, efficient, and scalable infrastructure for our AI/ML capabilities - Create robust data pipelines to feed analyses and models - Enable forecasting, network orchestration, and live pricing systems - Ensure data quality and data integrity through best practices in data integration - Build out robust feature stores, model orchestration tooling, experimentation tooling, model performance monitoring. - Create standards and templates for model development and deployment across all Data Science teams. What You Bring: - Bachelor’s Degree plus at least 3 years of experience in machine learning engineering, or Master’s Degree plus at least 2 years in machine learning engineering - This experience should include: - Developing and optimizing MLOps pipelines for speed, reliability, and observability. - Utilizing statistical modeling or machine learning techniques to solve business problems. - Strong proficiency in Python and SQL. - Hands-on experience with open-source languages and tooling for large-scale ML (e.g., Ray, Flink, Feast). - Working with Data Warehouses (e.g., Redshift, Databricks, Snowflake). - Utilizing cloud-based (AWS Preferred) data engineering and data science tools. - Experience building ML systems in Startups is a plus - Experience with DS/ML in Logistics/Supply Chain is a plus. Compensation: $175,000-190,000 per year The pay range is subject to the discretion of the Company. Additionally, Veho offers a competitive equity package, comprehensive medical, dental, and vision coverage as well as other benefits such as 401k and generous PTO for full-time roles.

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. Job Type & LocationThis is a Permanent position based out of Boston, MA. Pay and BenefitsThe 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 TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Apr 1, 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.

• Design and implementation of reliable, maintainable, and scalable GenAI systems in production. • Serve as a subject matter expert for machine learning systems owned by the team. • Mentor junior and mid level engineers through code reviews, technical guidance, and design collaboration. • Design, evaluate, and implement GenAI systems and workflows for information extraction and document generation. • Ability to take a proof of concept and turn it into production capable system. • Collaborate with product managers, data scientists, and engineers to translate business needs into high quality, production ready ML solutions. • Present findings, insights, and system results to technical and non technical stakeholders.