Consultant II - B2

Responsibilities

• Key Responsibilities
• Design, develop, and deploy Generative AI applications using state-of-the-art LLMs.
• Build and optimize RAG pipelines leveraging vector databases and enterprise knowledge sources.
• Develop prompt engineering strategies and evaluate model performance.
• Fine-tune, customize, and optimize foundation models for domain-specific use cases.
• Integrate AI solutions with cloud platforms and enterprise systems through APIs and microservices.
• Implement AI observability, monitoring, and evaluation frameworks.
• Develop scalable and production-ready AI applications following MLOps best practices.
• Conduct experimentation and benchmarking of LLMs, embeddings, and retrieval techniques.
• Collaborate with cross-functional teams to gather requirements and translate business problems into AI solutions.
• Stay updated on advancements in Generative AI, LLMs, agents, and multimodal AI technologies.
• - Design, develop, and deploy Generative AI applications using state-of-the-art LLMs. - Build and optimize RAG pipelines leveraging vector databases and enterprise knowledge sources. - Develop prompt engineering strategies and evaluate model performance. - Fine-tune, customize, and optimize foundation models for domain-specific use cases. - Integrate AI solutions with cloud platforms and enterprise systems through APIs and microservices. - Implement AI observability, monitoring, and evaluation frameworks. - Develop scalable and production-ready AI applications following MLOps best practices. - Conduct experimentation and benchmarking of LLMs, embeddings, and retrieval techniques. - Collaborate with cross-functional teams to gather requirements and translate business problems into AI solutions. - Stay updated on advancements in Generative AI, LLMs, agents, and multimodal AI technologies.