Machine Learning and Artificial Intelligence Scientist
Core
Lead the end-to-end development and production deployment of advanced ML, generative AI, and multi-agent solutions to deliver measurable business impact.
Role type
Senior Machine Learning and Artificial Intelligence Scientist
Builds
Scalable cloud-native AI products, generative AI systems, and multi-agent solutions
Domain
Enterprise AI, Cloud Data Platforms, Generative AI
Deliverable
production ML models | product features
Required skills
Generative AI and multi-agent system design, MLOps and LLMOps, Cloud-native architecture (Azure/AWS/GCP), Data engineering and pipeline orchestration, Model evaluation and governance, Software engineering best practices
Preferred skills
Experience with heterogeneous and imperfect data structures, Cross-cloud portability strategies, AI safety and responsible AI practices
Technologies
Python, PySpark, TensorFlow, PyTorch, Azure Databricks, Azure AI Foundry, Vertex AI, Amazon SageMaker, Kubernetes, Terraform, OpenTelemetry, Power BI
Responsibilities
Translate business objectives into analytical problems and deployment strategies, Design and deploy production-grade ML models and generative AI solutions, Engineer robust data and feature pipelines, Architect scalable cloud-based AI solutions, Implement MLOps and LLMOps practices, Mentor data scientists and engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
