ML Engineer II - Data Engineer +AI

UST; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

UST in Bengaluru is seeking an innovative AI Engineer to design, develop, test, and deploy AI-powered solutions that drive business value through automation, analytics, and intelligent applications. You will build scalable ML systems and Gen AI features to improve operational efficiency and customer experiences.

Collaborate with data engineers and software teams to create data pipelines, LLM apps, RAG architectures, and AI services.

Qualifications

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong programming skills in Python and SQL.
• Experience with Large Language Models (OpenAI, Anthropic, Llama, etc.) and prompt engineering.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with REST APIs, Git, and software development best practices.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions to solve complex business problems.
• Build and optimize data pipelines to support AI model training and inference.
• Develop and integrate Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
• Create scalable APIs and AI services for enterprise applications.
• Test agentic solutions and validate outputs to ensure accuracy, reliability, and expected behavior.
• Collaborate with data engineers, software developers, and business stakeholders to translate requirements into AI solutions.
• Evaluate, fine-tune, and monitor AI models for accuracy, performance, and reliability.
• Implement MLOps best practices for model deployment, testing, monitoring, and lifecycle management.
• Ensure AI solutions comply with enterprise security, governance, and responsible AI standards.
• Stay current with emerging AI technologies and recommend innovative approaches.

Skills

Python

SQL

Machine Learning

Deep Learning

Generative AI

Large Language Models

Prompt Engineering

RAG

Vector Databases

Snowflake

Databricks

Azure

REST APIs

Microservices

Git

Docker

Kubernetes

Power BI

Tableau

Streamlit

Agentic AI testing

Education

Bachelor's or Master's in CS/AI/DS or related

Tools

AWS

GCP

Job description

Job Summary

AI Engineer - Job Description Position Summary We are seeking an innovative AI Engineer to design, develop, test, and deploy AI-powered solutions that drive business value through automation, advanced analytics, and intelligent applications. The AI Engineer will collaborate with cross-functional teams to build and test scalable machine learning and generative AI solutions that enhance operational efficiency and improve customer experiences.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions to solve complex business problems.
• Build and optimize data pipelines to support AI model training and inference.
• Develop and integrate Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
• Create scalable APIs and AI services for enterprise applications.
• Test agentic solutions and validate outputs to ensure accuracy, reliability, and expected behavior.
• Collaborate with data engineers, software developers, and business stakeholders to translate requirements into AI solutions.
• Evaluate, fine-tune, and monitor AI models for accuracy, performance, and reliability.
• Implement MLOps best practices for model deployment, testing, monitoring, and lifecycle management.
• Ensure AI solutions comply with enterprise security, governance, and responsible AI standards.
• Stay current with emerging AI technologies and recommend innovative approaches.

Required Qualifications

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong programming skills in Python and SQL.
• Experience with Large Language Models (OpenAI, Anthropic, Llama, etc.) and prompt engineering.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with REST APIs, Git, and software development best practices.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Snowflake, Databricks, or modern data platforms.
• Knowledge of vector databases, semantic search, and RAG architectures.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Experience developing AI-powered analytics dashboards using Streamlit.

Preferred Technical Skills

• Python
• SQL
• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• RAG
• Vector Databases
• Snowflake, Databricks
• Azure
• REST APIs
• Microservices
• Git
• Docker
• Kubernetes
• Power BI
• Tableau
• Streamlit
• Agentic AI testing and output validation

Success Measures

• Deliver scalable AI solutions that improve business outcomes.
• Automate manual processes through AI-driven workflows.
• Improve model accuracy, performance, and reliability.
• Successfully test agentic workflows and validate outputs against expected results.
• Partner effectively with stakeholders to translate business needs into AI capabilities.
• Continuously evaluate and adopt emerging AI technologies to drive innovation.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.