Job Title: ML Engineer - Azure AI & Generative AI (Contract)

Location: Bengaluru | Chennai | Pune | Hyderabad
Experience: 7+ Years
Engagement Type: Contract
Compensation: ₹7,500 per day (Higher budget can be considered for exceptional profiles)

Key Responsibilities
Design, develop, and deploy machine learning and Generative AI solutions on Azure.
Implement MLOps best practices, including model versioning, reproducibility, monitoring, and CI/CD pipelines.
Deploy and manage ML workloads on AKS and containerized environments using Docker.
Collaborate with data scientists, developers, and business teams to deliver scalable AI solutions.
Optimize model inference, prompt engineering workflows, and fine-tuning processes.
Build data pipelines using Azure Databricks, Azure Data Factory (ADF), and Azure Synapse Analytics.

Required Skills:
7+ years of experience in Machine Learning Engineering and MLOps.
Solid programming expertise in Python, including ML frameworks and Azure SDKs.




Hands-on experience with:
Azure Machine Learning (Azure ML)
Azure AI Foundry
Azure OpenAI
Azure Kubernetes Service (AKS)
Azure Databricks
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Storage Services
Experience deploying and monitoring LLMs in production environments.
Knowledge of prompt engineering, fine-tuning, and inference optimization.
Experience with Azure DevOps and GitHub Actions for ML/LLM CI/CD pipelines.
Proficiency with Docker and containerized deployments.
Robust understanding of MLOps best practices and software engineering principles.
Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications
Prior experience in Generative AI or Large Language Model (LLM) projects.

Pay: ₹7,000.00 - ₹7,500.00 per day

Work Location: In person

📌 Ml Engineer Pune
🏢 Kasmoprav
📍 Pune