MLOps Engineer — Fresher / Trainee (ZS Associates, Pune 2026)

Entry-level MLOps Engineer opportunities for freshers in Pune (ZS Associates and peers) — eligibility, in-demand skills (Python, Docker, Kubernetes, CI/CD), prep and how to apply.

Pune, 2026 — ZS Associates is a global professional-services firm with large data science teams. This alert covers fresher / entry-level MLOps Engineer opportunities in Pune, Maharashtra for 2024–2026 graduates. In this role you would build the pipelines, deployment and monitoring that keep ML models running in production. Always confirm the current opening and apply on the official careers page below.

About the role

As an entry-level MLOps Engineer at a company like ZS Associates, you would build the pipelines, deployment and monitoring that keep ML models running in production, working alongside senior engineers and data scientists. AI, Generative AI and Agentic AI are among the fastest-growing hiring tracks in India in 2026, and Pune is an active market across GCCs, product companies and services firms.

Eligibility

• B.Tech / B.E / MCA / M.Sc (CSE, IT, ECE, Data Science or related) — 2024, 2025 or 2026 batch.
• Solid Python and fundamentals of machine learning / AI.
• A portfolio project is the single biggest differentiator for freshers.

Skills that get shortlisted

Python, Docker, Kubernetes, CI/CD, MLflow, model serving, AWS/Azure, monitoring.

How to prepare & apply

Containerise and deploy a model with a CI/CD pipeline. Our AI, GenAI & Agentic AI training in Hyderabad is built around exactly these portfolio projects, the FDE PRO Forward Deployed Engineer course goes deeper on production AI, and the AI/ML Engineer career roadmap covers the full path. Apply on the official careers page: ZS Associates Careers. See more roles on the Cloudsoft jobs board.

This is an informational hiring alert, not a confirmed single-company job posting. Eligibility, the live opening and compensation must be verified on the employer’s official careers page before applying. Salary shown is an indicative market range for freshers and is not guaranteed.