Job
Description
As a Lead Data Scientist AI/ML at our company, you will play a crucial role in driving strategic AI/ML initiatives across cross-functional teams. Your responsibilities will include: - Designing and implementing scalable data architectures to support LLM (Large Language Model) training, fine-tuning, and deployment. - Leading the development of Agentic AI systems integrating reasoning, memory, and planning capabilities. - Collaborating with ML Engineers and other Data Scientists to build pipelines for data ingestion, preprocessing, and model training. - Architecting solutions that support retrieval-augmented generation (RAG), vector databases, and semantic search. - Ensuring data governance, security, and compliance across all AI systems. - Evaluating and integrating open-source and commercial LLMs (e.g., OpenAI, Mistral, Cohere, Meta). - Optimizing data storage and compute infrastructure for high-performance AI workloads. - Staying current with advancements in AI, LLM ecosystems, and Agentic frameworks (e.g., LangChain, AutoGPT, OpenAgents). - Providing technical leadership, overseeing deliverables, and contributing to architectural strategy. Your skills and qualifications should include: - 7+ years of proven experience in AI/ML environments, preferably as a Data Architect, Lead Data Scientist, or similar role. - Strong understanding of LLM architectures, model training workflows, and deployment strategies. - Experience with Agentic AI frameworks and autonomous agents. - Advanced proficiency in Python and relevant libraries (e.g., Hugging Face Transformers, LangChain). - Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). - Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). - Strong knowledge of data modeling, ETL pipelines, and data lake/warehouse architectures. - Excellent problem-solving, analytical, leadership, and communication skills. About Apexon: Apexon is a digital-first technology company that helps businesses grow through innovation and smarter digital solutions. Working with clients at every step of their digital journey, we create powerful digital products using tools like AI, data, cloud, apps, and user experience design. Our focus is on building #HumanFirstDigital experiences that prioritize people at the center of technology. Apexon is a Great Place to Work Certified company in the USA, India, and UK, with an inclusive culture that respects and empowers everyone regardless of race, gender, age, background, or identity. As a Lead Data Scientist AI/ML at our company, you will play a crucial role in driving strategic AI/ML initiatives across cross-functional teams. Your responsibilities will include: - Designing and implementing scalable data architectures to support LLM (Large Language Model) training, fine-tuning, and deployment. - Leading the development of Agentic AI systems integrating reasoning, memory, and planning capabilities. - Collaborating with ML Engineers and other Data Scientists to build pipelines for data ingestion, preprocessing, and model training. - Architecting solutions that support retrieval-augmented generation (RAG), vector databases, and semantic search. - Ensuring data governance, security, and compliance across all AI systems. - Evaluating and integrating open-source and commercial LLMs (e.g., OpenAI, Mistral, Cohere, Meta). - Optimizing data storage and compute infrastructure for high-performance AI workloads. - Staying current with advancements in AI, LLM ecosystems, and Agentic frameworks (e.g., LangChain, AutoGPT, OpenAgents). - Providing technical leadership, overseeing deliverables, and contributing to architectural strategy. Your skills and qualifications should include: - 7+ years of proven experience in AI/ML environments, preferably as a Data Architect, Lead Data Scientist, or similar role. - Strong understanding of LLM architectures, model training workflows, and deployment strategies. - Experience with Agentic AI frameworks and autonomous agents. - Advanced proficiency in Python and relevant libraries (e.g., Hugging Face Transformers, LangChain). - Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). - Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). - Strong knowledge of data modeling, ETL pipelines, and data lake/warehouse architectures. - Excellent problem-solving, analytical, leadership, and communication skills. About Apexon: Apexon is a digital-first technology company that helps businesses grow through innovation and smarter digital solutions. Working with clients at every step of their digital journey, we create powerful digital products using tools like AI, data, cloud, apps, and user experience design. Our focus is on building #HumanFirstDigital experiences that prioritize people at the center of technology. Apexon is a Great Place to Work Certified company in the USA, India, and UK, with an in
