ML Engineer

Experience: 6–8 Years
Location: Remote
Working Hours: 11:00 AM – 9:00 PM

Job Summary

We are looking for an experienced ML Engineer with strong expertise in Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure.

The ideal candidate will have hands-on experience building and deploying ML models, developing AI agents, creating scalable ML pipelines, and implementing production-ready agentic AI solutions on Azure.

Key Responsibilities

- Develop and maintain scalable machine learning pipelines using Azure ML.
- Design and implement Agentic AI workflows and intelligent AI agents using LLMs.
- Build, deploy, and optimize ML models using TensorFlow, PyTorch, or similar frameworks.
- Develop production-ready AI agent architectures and applications.
- Work with Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry.
- Build and experiment with Generative AI, LLMs, and agentic workflows.
- Implement AI agent safety, guardrails, evaluation, and monitoring.
- Optimize AI agent performance through feedback loops and user interaction analysis.
- Support model serving, deployment, monitoring, and productionization.
- Collaborate with backend, ML, and frontend teams to deliver end-to-end AI solutions.
- Research, prototype, and improve AI agent reliability,



decision-making, and adaptability.

Required Skills

- 6–8 years of experience in Machine Learning / AI Engineering.
- Robust programming skills in Python.
- Hands-on experience with TensorFlow / PyTorch.
- Experience developing and deploying ML models and AI agents.
- Strong expertise in Generative AI, LLMs, and Agentic AI.
- Strong Microsoft Azure experience.
- Hands-on experience with Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry.
- Experience with ML pipelines and production AI deployment.
- Understanding of AI agent orchestration, evaluation, safety, and guardrails.
- Strong analytical and problem-solving skills.

Good to Have

- Reinforcement Learning and agent feedback mechanisms
- RAG and Prompt Engineering
- LLM Evaluation and Model Optimization
- AI Safety & Guardrails
- Experience with security or enterprise AI applications
- Backend APIs and frontend integration experience

Key Technologies

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

Pay: ₹140,000.00 - ₹150,000.00 per month

Work Location: Remote

📌 ML Engineer (India)
🏢 Delphic Global
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