Data Scientist - Generative AI
HumanaFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 12+ years of professional engineering experience with 5-6+ years in AI/ML models, 1+ year in Generative AI applications using prompt engineering, RAG, or agents, expertise in architecting GenAI systems, proficiency in Azure, GCP, or AWS, and expert skills in Python, Langchain/Langgraph, and SQL.
This information is not specified in the job description.
This information is not specified in the job description.
You will collaborate with a diverse team of Turing engineers as a key member of the GenAI delivery organization, leading the engineering team toward the technical roadmap.
Strong candidates have extensive AI/ML experience, proven leadership in guiding teams on technical roadmaps, LLM expertise with techniques like RAG and agents, and excellent communication skills for collaborating with business SMEs.
AI-driven matching of businesses with engineers
Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.