Senior Data Scientist
Tasks
- Collaborate with stakeholders and contribute to standards
- Define evaluation frameworks and validate models
- Design end-to-end GenAI solutions
- Ensure security and compliance
- Implement MLOps practices including Docker and CI/CD
- Integrate AI into systems and processes
- Monitor and optimize AI services
Perks/Benefits
- Competitive package
- Complex projects
- Impactful team
- Opportunities to deepen expertise
- True technical ownership
Skills/Tech-stack
AI workflows | APIs | Agentic AI | Agentic AI Workflows | CI/CD | Cloud Environments | Code Reviews | Distributed Systems | Docker | English Proficiency | Evaluation metrics | LLM | ML Fundamentals | Problem Solving | Python | RAG Architectures | Testing | Vector Databases
Education
Master's in Data Engineering | Master's in Software Engineering | Master’s degree in computer science
Roles
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