Senior Staff Data Scientist

Summary

Join our dynamic and global Digital Product Engineering company as a Data Scientist! We're looking for a highly skilled individual with 8+ years of experience in engineering, machine learning, and LLMs. You'll be responsible for building and deploying AI/ML/Gen AI solutions in large, business-critical applications. This role requires advanced Python proficiency, experience with various LLMs and frameworks, and excellent communication skills. You'll work with large datasets, leverage foundation models, and utilize various technologies in the Gen AI space. Your expertise in RAG concepts and experience with LLMOps tools will be crucial. A strong understanding of knowledge graphs and front-end development technologies is also highly valued.

Requirements

• Overall 8+ years of experience in engineering, machine learning & LLMs
• 6+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications
• 2+ years of experience in developing Gen AI products using a variety of LLMs & frameworks
• Excellent communication skills
• Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization
• Advanced proficiency in Python for data science, engineering & LLMs
• Highly curious technically to evaluate & test new technologies in Gen AI space
• Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines
• Experience with leveraging, training and fine-tuning Foundation Models including multimodal inputs and outputs
• Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex)
• Proficiency in generating and working with embeddings across a variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval
• Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets
• Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re-rankers etc.), Expertise in implementing RAG systems that combine knowledge bases
• Experience in working with a variety of databases (SQL, no SQL), APIs & microservices development
• Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products
• Experience in constructing and querying knowledge graphs including graph-based reasoning

Responsibilities

• Build and deploy AI/ML/Gen AI solutions in large business critical applications
• Develop Gen AI products using a variety of LLMs & frameworks
• Explain complex technical concepts to various audiences
• Operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization
• Evaluate & test new technologies in the Gen AI space
• Work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines
• Leverage, train and fine-tune Foundation Models including multimodal inputs and outputs
• Work with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex)
• Generate and work with embeddings across a variety of data formats. Understand embedding spaces and their applications in semantic search and information retrieval
• Employ effective text chunking techniques for optimal processing and indexing of large documents or datasets
• Implement RAG systems that combine knowledge bases
• Work with multi-agent frameworks/systems and understand multi-agent systems and their applications in complex problem-solving scenarios
• Work with a variety of databases (SQL, no SQL), APIs & microservices development
• Use LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products
• Construct and query knowledge graphs including graph-based reasoning

Preferred Qualifications

• Generative AI Fundamentals (Strong)
• FastAPI (Strong)
• Experience in front end development technologies (e.g. REACT)