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