Hiring ML Engineer For Bangalore

Talent Zone Consultants; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Talent Zone Consultants in Bangalore is seeking an experienced ML Engineer with strong expertise in Python, ML, and Azure-based AI platforms to build scalable models and deploy AI agents. The role focuses on designing agentic AI workflows, implementing ML pipelines with TensorFlow/PyTorch, and collaborating with backend and frontend teams to deliver production-grade AI solutions.

Candidates should have 6-8 years of hands-on experience and a track record of deploying ML models in cloud

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.

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.

Skills

Python

Azure ML

GenAI/LLM

Agentic AI

TensorFlow/PyTorch

ML Pipelines

AI Agents

AI Agent Deployment

Tools

Azure Databricks

Microsoft Fabric

AI Foundry

Job description

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

Experience 6 - 8 Years

Salary Not Disclosed

Industry IT Software - Application Programming / Maintenance

Qualification

Key Skills Python Machine Learning GenAI LLM Agentic AI Azure ML Azure Databricks Microsoft Fabric AI Foundry TensorFlow PyTorch ML Pipelines AI Agents Model Deployment MLOps RAG Prompt Engineering LLM Evaluation AI Guardrails Reinforcement Learning