ML Engineer

Location: Remote

Working Hours: 11:00 AM – 9:00 PM

Job Summary

We are hiring an experienced ML Engineer with strong expertise in Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure. The ideal candidate should have hands-on experience building, deploying, and optimizing ML models, AI agents, and scalable AI pipelines.

Key Responsibilities
- Develop and deploy scalable ML pipelines using Azure ML.
- Build Generative AI, LLM, and Agentic AI solutions.
- Design and implement AI agent workflows, orchestration, and decision-making systems.
- Develop ML models using TensorFlow, PyTorch, or similar frameworks.
- Work with Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry.
- Implement AI agent safety, guardrails, evaluation, and monitoring.
- Optimize AI systems using feedback loops, reinforcement learning, and performance analysis.
- Support model serving, deployment, monitoring, and productionization.
- Collaborate with backend, frontend, ML, and engineering teams to deliver end-to-end AI solutions.

Required Skills




- 6–8 years of experience in Machine Learning / AI Engineering.
- Strong Python programming skills.
- Hands-on experience with TensorFlow / PyTorch.
- Strong experience in GenAI, LLMs, and Agentic AI.
- Expertise in Microsoft Azure AI/Data platforms.
- Experience with Azure ML, Azure Databricks, Microsoft Fabric, and AI Foundry.
- Solid understanding of ML pipelines, AI deployment, and production systems.
- Knowledge of AI agent orchestration, evaluation, safety, and guardrails.

Good to Have
- Reinforcement Learning and agent feedback mechanisms.
- RAG, Prompt Engineering, LLM Evaluation, and Model Optimization.
- Experience with APIs, backend services, and frontend integrations.
- Enterprise or security-focused AI solutions.

Must Have:

Python | Azure ML | GenAI/LLM | Agentic AI | TensorFlow/PyTorch | Azure Databricks/Fabric/AI Foundry | ML Pipelines | AI Agent Deployment

Experience:
- Machine learning: 6 ye

📌 ML Engineer (India)
🏢 Tech Next
📍 India