AI Engineering

Zensar Technologies; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Zensar Technologies in Pune, India seeks an AI/ML professional to design, develop, and deploy ML models, LLMs, and AI workflows within the Databricks environment. You will build scalable Delta Lake pipelines with PySpark and Python, implement MLflow‑based MLOps, and optimize PySpark jobs and Databricks clusters for performance and cost efficiency.

Collaborating with Data Scientists, Data Engineers, and DevOps, you will integrate AI models into core business applications while using Unity Catalog

Qualifications

• Artificial intelligence and machine learning knowledge
• Experience with PySpark and Delta Lake is preferred
• Experience in Databricks environment and ML workflows
• Strong collaboration across cross-functional teams
• Knowledge of MLOps concepts and ML lifecycle management
• Familiarity with data governance and security practices

Responsibilities

• AI/ML Development: Design, develop, and deploy ML models, LLMs, and AI workflows within the Databricks environment.
• Data Pipeline Engineering: Build scalable, Delta Lake pipelines using PySpark and Python to ingest, clean, and preprocess large datasets for AI applications.
• MLOps Implementation: Set up the ML lifecycle using MLflow for tracking, versioning, deployment, and monitoring.
• Optimization & Performance: Optimize PySpark jobs, Databricks clusters, and Python code for performance and cost efficiency.
• Collaboration & Integration: Partner with Data Scientists, Data Engineers, and DevOps 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.

Job description

Job Description

• 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.

About Us

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.