AI Engineer
AI engineering
- LocationPune Division, Maharashtra, India
- Work modeOn-site
- TypeFull-time
- ExperienceNot stated
- SalaryNot disclosed
PySpark, Python, Mlflow, Databricks, Delta Lake, Machine Learning
Overview
This role involves developing and deploying AI models and data pipelines using Databricks, PySpark, and MLflow. You'll work on scalable data processing and model lifecycle management, collaborating with data scientists and DevOps teams. Ideal for someone with strong Python and machine learning experience looking to contribute to enterprise AI projects.
Summarised by InternDoor from Zensar Technologies’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.
Responsibilities
- Build and deploy AI models and LLMs in Databricks
- Develop Delta Lake pipelines with PySpark and Python
- Optimize clusters and code for performance and cost
How to apply
- Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
- Apply on Zensar Technologies’s careers site. The application is on fa-etvl-saasfaprod1.fa.ocs.oraclecloud.com, not on InternDoor. We never ask for a fee.
Apply soon: postings like this can close without notice, and this one states no deadline.
Application details
- Posted
- , on LinkedIn
- First seen by InternDoor
- , within 36 minutes of being posted
- Last checked
- : the posting was still in LinkedIn’s search results. We have not checked its application page.
- Application deadline
- Zensar Technologies has not stated one
- Leaves InternDoor
- By , our 30-day limit for LinkedIn listings, or sooner if the application closes
- Application page
- fa-etvl-saasfaprod1.fa.ocs.oraclecloud.com
What we checked, and what the dates mean
The date this listing leaves InternDoor is our own rule, not a deadline set by Zensar Technologies. Postings can close earlier, at any time.
InternDoor has recorded 77 engineering postings from Zensar Technologies in India since Sept 2026.
When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.
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