Data Scientist & AI Engineer (all genders)
Core
Design, develop, and implement ML, advanced analytics, and GenAI solutions across the analytical lifecycle, integrating them into production systems with MLOps practices.
Role type
Senior Machine Learning & Generative AI Engineer
Builds
Production-ready ML and GenAI models, Microsoft 365 Copilot solutions with agents, and data-intensive platform components for Agentic AI.
Domain
Legal gambling industry, Cloud & Microsoft environments, Generative AI
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, MLOps (CI/CD, monitoring, deployment), Large Language Models, multimodal models, Prompt Engineering, Fine-Tuning, RAG, Multi-Agent Systems
Preferred skills
Databricks, AWS Bedrock, Microsoft Copilot Studio, PyTorch, TensorFlow, LangChain, Hugging Face
Technologies
Databricks, AWS Cloud, Python, PySpark, SQL, dbt, GitLab, MLflow, Jira, Microsoft Copilot Studio, Microsoft 365 Copilot Extensions, Retrieval-Augmented Generation (RAG), Agentic AI, Multi-Agent Systems
Responsibilities
Integrate models and AI solutions into existing systems with Data Engineering and business units; ensure scalability, stability, performance, and monitoring of ML/KI solutions; develop and extend Microsoft 365 Copilot solutions with agents and automations; develop and operate data-intensive platform components for Agentic AI; identify, plan, and implement GenAI & Data Science use cases.
Seniority
Experienced, hands-on IC
