Ml Engineer

Role: AI/ML Engineer

Location: Ahmedabad, Pune, Indore

Years of Experience: 4 to 8 years

Notice Period 0-45 Days (Preferred)

Must-Have (Mandatory)

• Machine Learning:

  Deep understanding of supervised, unsupervised, and reinforcement learning, model evaluation, and feature engineering.

• Deep Learning:

  Proficiency with

  TensorFlow, PyTorch, Keras

  ; hands-on with

  CNNs, RNNs

  .

• Programming:

  Expert in

  Python

  (NumPy, Pandas, scikit-learn, etc.);

  R

  exposure acceptable.

• Big Data Technologies:

  Practical experience with

  Spark

  (Databricks preferred); familiarity with

  Hadoop/Kafka

  .

• Cloud Platforms:

  Azure or AWS or GCP

  (ML services, data storage, compute), with strong

  MLOps

  exposure.

• Data Warehousing & Databases:

  Strong

  SQL

  ,

  NoSQL

  , and data modeling.

• Drift Detection & Monitoring:

  Hands-on experience with model drift detection, monitoring, and automated alerts.

• Data Governance:

  Practical experience implementing governance frameworks, lineage tracking, metadata management, and compliance.
• Architect scalable

  MLOps

  pipelines using

  Azure ML

  ,

  MLflow

  ,

  Databricks Asset Bundles (DAB)

  , and

  CI/CD/CT

Good-to-Have.

• Design & deploy

  LLM

  solutions (RAG, Agentic AI, MCP, prompt engineering).
• Build

  Power BI dashboards

  for monitoring models and reporting business KPIs.
• Strong grounding in

  statistics

  , hypothesis testing, and data interpretation.
• Apply

  software engineering principles

  for reusable, testable, and maintainable ML code.
• Stay up to date with

  Generative AI

  ,

  Agentic AI

  , and

  LLMs

  and assess practical adoption.
• Mentor juniors, review code, and conduct technical knowledge-sharing sessions.

• Certification:

  Microsoft Certified: Azure Data Scientist Associate (nice to have).

What We Offer:

• Competitive Salary
• Work Life Balance
  Professional Development
• Innovative Work Environment.
• Recognition and Rewards