Why Zensar?
We re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships, with our clients and with each other and happiness is at the core of everything we do. In fact, we re so into happiness that we ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition grow, own, achieve, learn (GOAL) lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!
Zensar is seeking an Senior Data + AI/ML Engineer-Walnut Creek, CA (Hybrid 2/3 days per week onsite).This is open for Full time with excellent benefits and growth opportunities and contract role as well.
Job Description:
- Architected and led end-to-end data and AI platforms, spanning data ingestion, processing, model training etc.
- Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn etc.
- Solid understanding of supervised and unsupervised learning including classification, clustering, and predictive modeling techniques.
- Expert level experience with AWS, including designing, deploying and managing production grade AI/ML solutions using service such as S3 ,EC2,EKS/ECS, Lambda, RDS, IAM etc.
- Proven experience working designing and building large scale, complex datasets including data transformation, normalization and data quality management etc.
- Hands on experience deploying and operating ML workloads in AWS GovCloud with strong knowledge of security, compliance, and government cloud constraints.
- Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document generation, vector and LLM integration.
- Experience integrating LLMs with structured and unstructured data to generate accurate, explainable and context aware responses.
- Strong understanding of ML Ops and LLM Ops practices, including model / version management, prompt management, evaluation, monitoring and retraining.
- Experience building scalable batch and real time pipelines for data engineering, ML and generative AI workloads.
- Familiarity with data security, privacy and compliance requirements in regulated or public sector environments.
- Excellent communication and collaboration skills with the ability to work independently and drive technical initiatives.
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