Description Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few). The Machine Learning Engineering team is looking for an experienced machine learning engineer to take care of this client’s requirement to take machine learning models with varying requirements to production. Responsibilities ● Build tools and infrastructure to democratize ML ● Productionizing ML models in collaboration with the Data Science and other Engineering teams. ● Maintain and support existing platforms and evolve to newer technology stacks and architectures. Desired Skills & Experience ● 2-3 years of relevant software engineering experience with data intensive applications ● Strong understanding of data science concepts and machine learning lifecycle ● Strong understanding of spark and sql and prior experience with writing backend APIs ● Flexible and open to trying out newer technologies and adopting them as and when needed. Technologies we use: ● Flask, Docker, Kubernetes ● Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis ● sklearn, pyTorch, Tensorflow, Spark ● Mlflow, Sagemaker, Kibana, Airflow Skills Machine learning, Statistics, Python, Sql, Spark, pytorch, Algorithm, Predictive modelling, Artificial intelligence Pay and Benefits The pay range for this position is $ - $ Competitive base salary and ISO equity packages tailored to your experience and impact Company-sponsored dental and vision insurance for you and your dependents Medical plans including HMO, PPO, and HDHP with employer contributions to HSA $200 monthly wellness stipend for fitness, wellness gear, or health-related expenses 401(k) plan with a 3% employer match, up to $1,000 annually Flexible vacation and sick leave / paid time off policy Generous parental leave and family support benefits Paid holidays and additional personal days Free daily catered lunches, snacks, and beverages Home office stipend and hybrid work flexibility Employee resource groups (ERGs) to build community and connection Pet-friendly office Workplace Type This is a hybrid position in Redwood City,CA. Application Deadline This position is anticipated to close on Aug 18, 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

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 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.