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Zensar

AI Engineering

Posted 2 hours ago
5-10 years experience
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AI Summary

Design, develop, and deploy machine learning models, large language models, and end-to-end AI workflows in Databricks, while building scalable Delta Lake pipelines with PySpark and Python. Manage the ML lifecycle with MLflow, optimize performance and cost, integrate AI models into business applications and APIs, and implement governance and security using Unity Catalog.

AI/ML Development: Design, develop, and deploy machine learning models, LLMs, and AI workflows within the Databricks environment.

Data Pipeline Engineering: Build scalable, efficient Delta Lake pipelines using PySpark and Python to ingest, clean, and preprocess large-scale datasets for AI applications.

MLOps Implementation: Set up and manage the ML lifecycle using MLflow for model tracking, versioning, deployment, and monitoring.

Optimization & Performance: Optimize PySpark jobs, Databricks clusters, and Python code for maximum performance and cost efficiency.

Collaboration & Integration: Partner with Data Scientists, Data Engineers, and DevOps teams to integrate AI models into core business applications and APIs.

Governance & Security: Implement Unity Catalog for data governance, access control, and lineage tracking across AI assets.

Responsibilities

AI/ML Development: Design, develop, and deploy machine learning models, LLMs, and AI workflows within the Databricks environment.

Data Pipeline Engineering: Build scalable, efficient Delta Lake pipelines using PySpark and Python to ingest, clean, and preprocess large-scale datasets for AI applications.

MLOps Implementation: Set up and manage the ML lifecycle using MLflow for model tracking, versioning, deployment, and monitoring.

Optimization & Performance: Optimize PySpark jobs, Databricks clusters, and Python code for maximum performance and cost efficiency.

Collaboration & Integration: Partner with Data Scientists, Data Engineers, and DevOps teams to integrate AI models into core business applications and APIs.

Governance & Security: Implement Unity Catalog for data governance, access control, and lineage tracking across AI assets.

Qualifications

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At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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