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.
- Strong 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
