ML Engineer

Experience: 6–8 Years

Engagement: C2C

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 machine learning models and AI agents, developing scalable ML pipelines, and orchestrating agentic workflows using Azure Data and AI platforms.

Key Responsibilities

- Develop and maintain scalable machine learning pipelines and integrate them with Azure ML.

- Design and implement Agentic AI workflows and intelligent AI agents using LLMs, planning, and decision-making frameworks.

- Build, deploy, and optimize ML models using TensorFlow, PyTorch, or similar frameworks.

- Design secure, scalable, and production-ready AI agent architectures.

- Work with Microsoft Azure, including Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry.

- Build and experiment with Generative AI models, LLMs, and Agentic AI workflows.

- Implement AI agent safety, guardrails, evaluation, and monitoring mechanisms.

- Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.

- Collaborate with backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.

- Support model serving, deployment, monitoring, and productionization of AI systems.

- Conduct performance evaluation to improve agent reliability, adaptability, and decision-making.

- Rapidly prototype and iterate on AI solutions.





- Collaborate with senior engineers and researchers to deliver production-grade AI systems.

Required Skills & Qualifications

- 6–8 years of experience in Machine Learning / AI Engineering.

- Strong programming skills in Python.

- Hands-on experience with TensorFlow, PyTorch, or equivalent ML frameworks.

- Proven experience developing and deploying ML models and AI agents.

- Solid hands-on experience with Generative AI, LLMs, and Agentic AI.

- Strong expertise in Microsoft Azure and Azure AI/Data platforms.

- Experience with:

- Azure ML

- Azure Databricks

- Microsoft Fabric

- Microsoft AI Foundry

- Experience with ML pipelines, deployment architecture, and production AI systems.

- Understanding of AI agent orchestration, evaluation, safety, and guardrails.

- Strong problem-solving skills and ability to work in a fast-paced environment.

Good to Have

- Reinforcement Learning and agent feedback mechanisms.

- AI solutions for security or enterprise applications.

- LLM evaluation, prompt engineering, RAG, and model optimization.

- Backend services, APIs, and frontend integrations.

Key Skills

Must Have:

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

Good to Have:

Reinforcement Learning | RAG | Prompt Engineering | AI Safety & Guardrails | LLM Evaluation

Additional Details

Employment Type: Contract / C2C

Work Mode: Remote

Working Hours: 11:00 AM – 9:00 PM

Priority: P1

Rate: $140–150K

Pay: ₹80,000.00 - ₹100,000.00 per month

Work Location: Remote

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