ML Engineer

Experience: 6–8 Years

Location:The position is remote, with a requirement to visit the designated office twice a month.

The candidate should be available to visit an office in Noida, Pune, Hyderabad, Chennai, or Bangalore, as applicable.

Working Hours: 11:00 AM – 9:00 PM

Role OverviewWe 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 machine learning models using TensorFlow, PyTorch, or similar frameworks.
- Design secure, scalable, and production-ready AI agent architectures for cross-platform applications.
- Work extensively with Microsoft Azure, including Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry.
- Build and experiment with Generative AI models, LLMs, and agentic workflows.
- Implement AI agent safety, guardrails, evaluation, and monitoring mechanisms.
- Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.
- Collaborate across backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.
- Support deployment architecture, model serving, monitoring, and productionization of AI systems.




- Conduct research and performance evaluation to improve agent conversation, decision-making, adaptability, and reliability.
- Rapidly prototype and iterate on AI solutions in a startup-style environment.
- Collaborate with senior engineers and researchers to deliver production-grade AI systems.

Required 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 machine learning 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, and 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, collaborative environment.

Valuable to Have
- Experience with reinforcement learning and agent feedback mechanisms.
- Experience building AI solutions for security or enterprise applications.
- Knowledge of LLM evaluation, prompt engineering, RAG, and model optimization.
- Experience working across backend services, APIs, and frontend integrations.

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

Good to Have: Reinforcement Learning | RAG | Prompt Engineering | AI Safety & Guardrails | LLM Evaluation

📌 Senior Azure AI/ML Developer(Remote) (India)
🏢 Aarvion services India
📍 India