Azure ML Experts

iLink Digital; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading technology solutions provider in Bengaluru seeks a Data Engineer with strong proficiency in Python, Java, or Scala for building data pipelines and AI/ML workflows. Candidates must have expertise in AzureML, machine learning, and cloud computing, alongside hands-on experience with MLOps and DataOps. The role involves building intelligent agents, monitoring production models, and running A/B tests. This position offers a dynamic environment with opportunities to develop cutting-edge solutions.

Qualifications

• Strong proficiency in programming languages for building data pipelines.
• Must have AzureML experience for cloud-based models.
• Expertise in machine learning and cloud computing is essential.

Responsibilities

• Build and scale intelligent agents and AI-driven decision support systems.
• Monitor and maintain production models, ensuring high performance.
• Run regular A/B tests, draw conclusions from gathered data.

Skills

Python

Java

Scala

AzureML

Machine Learning

Cloud Computing

AI/ML Workflows

Data Pipelines

MLOps

DataOps

Tools

Airflow

Job description

Bangalore North, India | Posted on 02/13/2026

• Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservicesarchitectures.
  
• Must have AzureML experience
  
• Expertise in machinelearning, and cloud computing(Azure).
  
• Deep understanding of LLMs(Large Language Models), retrieval-augmented generation (RAG),and autonomous/agentic AI systems. Preferably Anything LLM and OpenWebUI
  
• Demonstrated ability to buildand scale intelligent agentsor AI-driven decision supportsystems.
  
• Hands-On expertise with Airflow
  
• Experience with MLOpsand DataOpslifecycles and engineering practices
  
• Run regular A/B tests, gatherdata, and draw conclusions on the impact of your models.
  
• Monitor and maintain productionmodels.
  
• Strong problem-solving, systemdesign, and stakeholder management skills.