EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for an experienced 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
We offer
-
Opportunity to work on technical challenges that may impact across geographies
-
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
-
Opportunity to share your ideas on international platforms
-
Sponsored Tech Talks & Hackathons
-
Unlimited access to LinkedIn learning solutions
-
Possibility to relocate to any EPAM office for short and long-term projects
-
Focused individual development
-
Benefit package:
-
Health benefits
-
Retirement benefits
-
Paid time off
-
Flexible benefits
-
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
