AI Engineering
Zensar Technologies
Pune Division, Maharashtra, India3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- Machine learningLLMsSparkPythonETLREST APIs
- Work
- On-site in Pune Division
- Pay
- Not stated by the employer.
- Skill demand
- LLMs68%Python60%Machine learning55%Spark11%of 99 similar fresher jobs posted in India this week
- Listed
- 3 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
Key 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.
Requirements & Tech Stack
- Databricks
- Delta Lake
- PySpark
- Python
- MLflow
- Unity Catalog
- APIs
Qualifications
- This section is not explicitly defined with specific qualifications beyond the technical requirements for the role.