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.

- Strong 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