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.

• Analyze 4+ years of reservation data from live restaurant partners to understand demand patterns • Build predictive models that account for factors like table type, day of week, time slot, booking lead time, seasonality, and more • Design a dynamic pricing engine that can adjust prices based on real-time demand signals • Work alongside our engineering team to integrate your models into the Peak platform

Summary Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment. Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems. You’ll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes. What you'll do: - 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. What it takes to succeed: - Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines. - Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn. - Strong coding skills in Python or equivalent (Java, C++). - Solid understanding of engineering and infrastructure best practices. - The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal. - We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation. - A Bachelor’s Degree or an equivalent work experience is required What you'll get: - There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits. - This opportunity has the option to be fully remote in all locations across the US. - You can find more information about Yelp's five star benefits here! Closing At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.” We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience. We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role. We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. #LI-Remote Recruiting and Applicant Privacy Notice