Lead/Senior Domino Data Lab with Python

Job description

*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 seeking an experienced **Lead/Senior Domino Data Lab Engineer** **with strong Python expertise** to design, develop, and deploy scalable data science applications and machine learning solutions. In this role, you will leverage the Domino Data Lab platform to build production-ready models, collaborate with cross-functional teams, and drive best practices across the ML lifecycle. **Responsibilities** - Design, develop, and deploy applications and machine learning models on the Domino Data Lab platform - Build and maintain Python-based solutions using modern frameworks and libraries - Develop REST APIs to expose models and services for enterprise consumption - Manage Domino Projects, Workspaces, Jobs, and Environments to support data science workflows - Implement MLOps practices covering model deployment, monitoring, and productionization - Collaborate with data scientists, engineers, and stakeholders to translate business needs into technical solutions - Integrate applications with various databases and data sources - Establish CI/CD pipelines and containerization strategies for reliable delivery - Mentor junior team members and promote software development best practices - Ensure the reliability, scalability, and performance of deployed models and services **Requirements** - 5-14 years of professional software/data engineering experience - Strong hands-on expertise in Domino Data Lab, including Projects, Workspaces, Jobs, and Environments - Proficiency in Python development and scripting - Skills in Pandas, NumPy, and Scikit-learn or similar Python libraries - Experience developing REST APIs with FastAPI, Flask, or Django - Understanding of MLOps principles and the end-to-end ML model lifecycle - Knowledge of Git, Docker, and CI/CD workflows - Familiarity with cloud platforms such as AWS, Azure, or GCP - Background in model deployment, monitoring, and productionization - Capability to work with databases and data integration solutions - Understanding of software development best practices **Nice to have** - Experience with Node.js - Familiarity with Kubernetes for orchestration - Exposure to MLOps or Machine Learning platform tooling - Background in Jupyter or similar Data Science environments - Experience with enterprise application integration **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.)