Lead enterprise-scale GenAI and ML architecture within the Databricks ecosystem. Design and implement production ML pipelines, LLM fine-tuning, RAG architectures, multi-agent systems, and MLOps solutions using MLflow, Unity Catalog, Delta Lake, and Serving Endpoints. Collaborate with Databricks technical teams, serve as the GenAI/ML technical authority, navigate complex requirements, and pass rigorous technical assessments.
About the Role
We're seeking an exceptional Principal Data Scientist / GenAI Architect at T1A to join as a dedicated expert for DataBricks projects. This is a highly specialized role for someone who can match the technical caliber of our top performers and work directly with DataBricks teams on their most complex initiatives.
This is NOT a junior or mid-level position. We need someone at architect level who can pass DataBricks' rigorous technical interviews and immediately contribute to production systems.
Why This Role Is Unique
- DataBricks-focused position: You'll work exclusively on DataBricks projects in direct collaboration with their technical teams
- Architect-level ownership: Design and implement enterprise-scale ML/AI solutions from scratch
- Premium compensation: We understand exceptional talent commands exceptional rates
- Direct impact: Work with DataBricks on strategic GenAI implementations for their key clients
- Technical excellence: Join a team where technical depth is valued above all
Responsibilities
- Lead GenAI/ML architecture and implementation specifically within DataBricks ecosystem
- Design production-ready ML pipelines using the full DataBricks stack (MLflow, Unity Catalog, Delta Lake, Serving Endpoints)
- Implement advanced GenAI solutions: LLM fine-tuning, RAG architectures, multi-agent systems
- Navigate complex technical requirements and deliver innovative solutions
- Collaborate directly with DataBricks product and engineering teams
- Serve as technical authority for GenAI/ML best practices
- Pass and excel in DataBricks' technical assessments
Requirements
Must-Have Requirements:
- 5+ years of senior/principal level ML/AI experience (not just years in the field, but years at senior level)
- Expert-level proficiency with DataBricks platform - this is non-negotiable
- Production GenAI experience: You've built and deployed LLM-based systems at scale
Strong technical fundamentals:
- Advanced Python for ML/AI
- Deep understanding of Spark and distributed computing
- SQL mastery and data engineering principles
- MLOps and production ML systems
- Excellent English communication skills (you'll interface with US-based DataBricks teams)
- Proven ability to work at architect level - designing systems, not just implementing
- Track record of passing rigorous technical interviews
Nice-to-Have
- Experience with multiple cloud platforms (AWS/Azure/GCP)
- Background from top universities (MSU, MIPT, top EU/US schools)
- Experience at leading tech companies (FAANG, Yandex, or similar)
- Russian language skills (for internal collaboration)
- DataBricks certifications (ML Professional)
- Published research or significant open-source contributions
Location & Setup
Europe
Full remote, B2B contract
Must have legal right to work in EU
Flexible hours with availability for DataBricks team collaboration (some US timezone overlap)
Conditions
- 7,000-9,000 EUR gross (based on expertise)
- Fully remote setup with flexible working hours
- Direct partnership with DataBricks technical teams
- Work on cutting-edge GenAI implementations
- Minimal bureaucracy - focus on technical excellence
- T1A Christmas Holidays as additional paid vacation
- Annual performance review with compensation revision
The base pay range for this role is €7,000 – €9,000 per month.
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