Lead AI Engineer

EPAM Systems; Bengaluru; On-site; INR 2,600,000 - 4,000,000; Full time

Job summary

EPAM Systems in Bengaluru seeks a Lead AI Engineer to pioneer AI and machine learning solutions, shaping the development and deployment of cutting-edge generative AI applications. You will lead cross-functional teams across the organization to deliver AI-driven efficiencies and impactful business outcomes.

The role requires 8–13 years of IT experience with 8+ years in AI Engineering, strong Python, and hands-on experience with ETL pipelines and ML/DL frameworks.

Qualifications

• 8+ years of general IT experience.
• 8+ years of experience in AI Engineering.
• At least 1 year of leadership experience.
• Strong programming skills in Python.

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions in production.
• Design and maintain robust ETL pipelines and data workflows.
• Develop LLM-based applications using modern frameworks.
• Implement prompt engineering techniques for optimized AI outputs.
• Deploy models via APIs and integrate with enterprise applications.
• Ensure end-to-end ownership, including development, deployment, monitoring, and optimization.
• Collaborate with cross-functional teams to deliver business-driven AI solutions.

Skills

Python

Leadership

English communication

Cloud basics

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Hugging Face

MLflow

Kubeflow

Airflow

Azure

AWS

GCP

APIs

Job description

We are seeking a Lead AI Engineer to pioneer innovative AI and machine learning solutions, shaping the development and deployment of cutting-edge generative AI applications. This role offers the opportunity to lead the charge in creating AI-driven efficiencies and impactful business outcomes while collaborating with diverse teams across the organization.

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions in production
• Design and maintain robust ETL pipelines and data workflows
• Develop LLM-based applications using modern frameworks
• Implement prompt engineering techniques for optimized AI outputs
• Deploy models via APIs and integrate with enterprise applications
• Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
• Collaborate with cross-functional teams to deliver business-driven AI solutions
  

Requirements

• 8-13 years of general IT experience
• 8+ years of experience in AI Engineering
• At least 1 year of relevant leadership experience
• Strong programming skills in Python
• Hands-on experience with ETL and Data Pipelines
• Expertise in ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn
• Understanding of Prompt Engineering and working with LLMs
• Familiarity with LLM frameworks like LangChain, LlamaIndex, Hugging Face
• Cloud experience with Azure, AWS, or GCP
• Proficiency in MLOps tools like MLflow, Kubeflow, Airflow
• Strong experience in API development and Model Deployment
• B2 level of English or higher, with an emphasis on technical communication skills
  

Nice to have

• Experience with RAG architectures and vector databases
• Knowledge of real-time or streaming data pipelines
• Exposure to scalable system design and microservices architecture
• Showcase of expertise in Databricks, PySpark
• Background in Cloud Data Solutions and ETL Pipelines