NextGen Invent, an INC.5000 company
Website:
nextgeninvent.com
Job details:
This role will directly report to the VP, Data Science in Data Science Practice. The person will work on Generative AI and advanced data science use-cases for the enterprise and must have deep expertise in Large Language Models (LLMs), machine learning, and AI-driven solution development, with a strong focus on delivering scalable solutions to solve business problems.
Job Responsibilities:
- Leverage Generative AI (GenAI), LLMs, and ML techniques to deliver enterprise use cases
- Design and implement GenAI solutions such as chatbots, copilots, and intelligent assistants
- Build end-to-end GenAI pipelines including prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG)
- Develop and deploy data science and GenAI solutions in an Agile delivery model
- Implement and scale high-availability models, LLM applications, and AI systems across business functions
- Investigate and create experimental GenAI prototypes for specific domains and verticals
- Analyze large, complex datasets to identify patterns and improve model outputs
- Evaluate and optimize LLM responses, including reducing hallucinations and improving accuracy
- Maintain and enhance existing AI/ML and GenAI solutions for improved performance
- Design and execute large-scale experiments to validate models and hypotheses
Skills, Knowledge, Experience:
- Must have Ph.D. in an analytical or technical field (e.g., applied mathematics, computer science)
- Minimum 2 years of data science-related work experience in live projects is a must.
- Strong knowledge of machine learning, NLP, and Generative AI concepts
- Hands-on experience with LLMs (e.g., GPT, Llama, Claude) and prompt engineering
- Experience with RAG architectures, embeddings, and vector search
- Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel
- Ability to build and deploy AI/GenAI solutions effectively in production environments
- Strong collaboration skills to work with cross-functional stakeholders and deliver results
- Ability to lead and mentor high-performing teams
- Must have programming experience in Python (mandatory), SQL; R is a plus
- Experience in developing and improving machine learning and GenAI projects
- Strong familiarity with current trends in AI and Generative AI ecosystems
- Experience working with AWS, Azure, or similar cloud platforms
- Familiarity with data visualization techniques and tools
- Healthcare experience is a plus
- Experience in Kafka, chatbot development, and blockchain is a plus
- Strong interpersonal, organizational, and communication skills (written and verbal)
- Experience working with USA or European clients is a plus
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