About the job
Unlock the Power of Data Science in Our Inclusive CommunityThe role involves driving growth through the strategic use of Generative AI and advanced systems. Key responsibilities include: • Developing and implementing end-to-end GenAI powered RAG & multi-agent systems. • Providing guidance on system architecture & components to ensure seamless integration. • Building TTD system components: LLM Agents, routing, state management, vector stores, and context-providing rerankers. You will also support project delivery by analyzing findings, delivering high-quality solutions, and drawing conclusions with actionable recommendations. We are seeking a professional with a strong background in machine learning, particularly Generative AI (LLM/LMM), and Natural Language Processing (NLP) or multimodal models. Proficiency in Python and object-oriented programming is required, along with working knowledge of SQL and vector databases. Nice to have skills include experience with Databricks, commercial experience in Generative AI, NLP, or Computer Vision, microservice architectures, code repositories, and business acumen. We offer a stable employment opportunity with flexible working hours and contract options. Comprehensive online onboarding, Udemy learning access, certificate training programs, upskilling support, and more are included.
Requirements
- Generative AI
- Natural Language Processing
- Python
- SQL
Preferred Technologies
- Generative AI
- Natural Language Processing
- Python
- SQL
Benefits
- Flexible working hours
- Online onboarding
- Udemy learning access
- Certificate training programs
About the company
Unlock the Power of Data Science in Our Inclusive Community. The role involves driving growth through the strategic use of Generative AI and advanced systems.
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