Gen AI - Data Scientist
# Gen AI - Data Scientist **Nextgen Invent Corporation** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Scientist]` `[AI-Scientist]` `[Machine-Learning-Engineer]` `[Generative-AI-Engineer]` `[AI-Data-Scientist]` `[GenAI-Data-Scientist]` `[Data-Science]` --- ### About the Role Experience: 2+ Years Job Location: WFH / Remote (India) No. of Positions: Multiple Qualification: Ph.D. in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Data Science, Applied Mathematics, or a related field Work Timings: 1:30 PM IST – 10:30 PM IST Functional Area: Data Science The personwill work on Generative AI and advanced data science use cases for theenterprise and must have deep expertise in Large Language Models (LLMs),machine learning, and AI-driven solution development, with a strong focus ondelivering 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 a 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. This job description is not intended to cover orcontain a comprehensive listing of all responsibilities, duties, or activitiesthat are required. Responsibilities, duties, and/or activities may change, ornew ones may be added at any time with or without notice. If you are a motivated professional with a passion fordelivering impactful solutions, we'd love to hear from you. Apply today to bepart of a dynamic and forward-thinking team at NextGen Invent. Originally posted on Himalayas
- Data-Scientist
- AI-Scientist
- Machine-Learning-Engineer
- Generative-AI-Engineer
- AI-Data-Scientist
- GenAI-Data-Scientist
- Data-Science
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).