Senior Data Scientist
Tasks
- Build end-to-end AI-powered applications
- Collaborate with cross functional teams to define business solutions
- Define AI application architectures using large language models
- Define prompt engineering model evaluation and fine tuning approaches
- Ensure AI development best practices security and governance
- Implement scalable AI pipelines
- Lead design and development of artificial intelligence and machine learning solutions
- Mentor junior and mid-level data scientists
- Stay current with generative AI and machine learning trends
Perks/Benefits
- Benefits plan
- Delivery of work equipment adjusted to performance
- Hybrid work model
- Remote work whenever possible
Skills/Tech-stack
AI Agents | AWS | Agent Framework | Azure | CI/CD | Cloud platform | Data Engineering | Deep learning | Docker | Embeddings | Fine Tuning | Generative AI | Git | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Agent | Microsoft Agent Framework | Natural Language | Natural Language Processing | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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