Data Science And Ai Specialist

Summary

Join our dynamic and globally distributed Digital Product Engineering company as we scale! We're seeking a highly skilled engineer with 8+ years of experience in engineering, machine learning, and LLMs to build and deploy cutting-edge AI/ML/Gen AI solutions. You'll need extensive experience with LLMs, frameworks, and large datasets, along with proficiency in Python and data science. Success requires excellent communication and collaboration skills, a transparent mindset, and a passion for exploring new technologies in the Gen AI space. We offer a remote-first work environment with flexible hours and attractive development opportunities.

Requirements

• 8+ years of experience in engineering, machine learning & LLMs
• 4+ 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
• Advanced proficiency in Python for data science, engineering & LLMs
• 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, semantic search, re-rankers etc)
• Expertise in implementing RAG systems that combine knowledge bases
• Experience with multi-agent frameworks/systems and an understanding of multi-agent systems and their applications in complex problem-solving scenarios
• Experience in working with a variety of databases (SQL, NoSQL), 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
• Data Science - General Experience
• React (Capable)
• Python for Data Science (Strong)

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
• Evaluate and 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
• Apply understanding of embedding spaces in semantic search and information retrieval
• Utilize 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
• Work with a variety of databases (SQL, NoSQL), APIs & microservices development
• Implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products using LLMOps tools (e.g., Langsmith)
• Construct and query knowledge graphs including graph-based reasoning

Preferred Qualifications

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

Benefits

• Remote first company
• Modern offices in central locations with high-tech equipment
• MyN Employee Participation Program - Nagarro
• Attractive development opportunities
• Time flexibility
• Internal promotion
• Flexible compensation