LeadSenior Domino Data Lab with Python

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 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.

• 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

• 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

• Experience with
• 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