Description

The Machine Learning team is a central player in the client organization. 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 at the client is looking for an experienced machine learning engineer to take care of the client's requirement to take machine learning models with varying requirements to production.

Responsibilities

Build tools and infrastructure to democratize ML

Productionize 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 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

Top Skills Details Machine learning, Statistics, Python, SQL, Spark, PyTorch

Additional Skills & Qualifications

End-to-end ML pipeline experience required (data, features, training, deployment)

High-scale model serving experience (high QPS)

Proficiency in streaming/batch processing

Monitoring and observability skills

Experience Level Intermediate Level

Pay and Benefits The pay range for this position is $180,000 - $200,000 per year. Includes competitive salary, equity packages, insurance, wellness stipends, 401(k), flexible leave, parental benefits, holidays, catered meals, home office stipend, ERGs, pet-friendly office, and more.

Workplace Type This is a hybrid position in Redwood City, CA.

Application Deadline This position is anticipated to close on August 14, 2025.

About TEKsystems TEKsystems helps clients activate ideas and solutions to leverage new opportunities. With 80,000 employees, working with over 6,000 clients including 80% of the Fortune 500, we lead in Full-Stack Technology Services and Talent Services across North America, Europe, and Asia. TEKsystems is part of Allegis Group.

The company is an equal opportunity employer, considering all applications regardless of race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.

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