Lead AI Engineer

EPAM Systems; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EPAM Systems is seeking a Lead AI Engineer to spearhead the design, development, and deployment of generative AI applications across the organization. You will own end-to-end AI solutions, build scalable models, and collaborate with cross-functional teams to drive business outcomes.

The role requires strong Python skills, extensive experience with ML frameworks, and leadership capabilities to guide projects and teams in a dynamic, global environment.

Qualifications

• 8–13 years of general IT experience.
• 8+ years of experience in AI Engineering.
• At least 1 year of leadership experience.
• Strong Python programming skills.
• 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.

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 Pipelines

LLMs

Prompt Engineering

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Hugging Face

Azure

AWS

GCP

MLflow

Kubeflow

Airflow

APIs

Model Deployment

English Communication

Tools

LangChain

LlamaIndex

Hugging Face

TensorFlow

PyTorch

Scikit-learn

Databricks

PySpark

MLflow

Kubeflow

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