Job openings for Ml Engineer in Bangalore

ML Engineer
**Experience:** 6-8 Years
**Engagement:** C2C
**Location:**Bangalore
## Role Overview
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 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.
## Good 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 Skills
**Must 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