Lead AI Engineer

EPAM Systems; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems is seeking a Lead AI Engineer to pioneer AI and machine learning solutions, shaping the development and deployment of cutting-edge generative AI applications. This role offers the opportunity to lead AI-driven initiatives that deliver business value while collaborating with diverse teams across the organization.

Responsibilities include building and deploying scalable AI/ML models and GenAI solutions, designing robust ETL pipelines, developing LLM-based applications, implementing

Qualifications

• 8–13 years of general IT experience.
• 8+ years of AI engineering experience.
• At least 1 year of 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 LangChain, LlamaIndex, Hugging Face.
• Cloud experience with Azure, AWS, or GCP.
• Proficiency with MLOps tools like MLflow, Kubeflow, Airflow.
• Strong API development and model deployment experience.
• B2 level of English or higher, with strong technical communication.

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

ETL

Data Pipelines

TensorFlow

PyTorch

Scikit-learn

Prompt Engineering

LLMs

LangChain

LlamaIndex

Hugging Face

Cloud (Azure/AWS/GCP)

MLflow

Kubeflow

Airflow

API Development

Model Deployment

Cross-functional Leadership

Tools

Databricks

PySpark

Azure ML

AWS SageMaker

GCP Vertex AI

Airflow

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