Sr. AI Manager

2 weeks ago

Mumbai, Maharashtra, India HyrEzy Talent Solutions Full time ₹ 2,00,00,000 - ₹ 2,50,00,000 per year

Job: Sr. AI Manager

  • Location: Navi Mumbai
  • Notice Period: 30 days
  • Job Type: Tech
  • Expected CTC: ₹ 20-25 LPA
  • Experience: years
  • Qualifications: Bachelor's or master's degree in computer science / engineering, Bachelor's or master's degree in Mathematics, Bachelor's or master's degree in Statistics or related quantitative fields

Role Overview: We are looking for a Senior AI Manager who can design, build, and implement advanced AI/ML solutions — especially in the areas of Retrieval-Augmented Generation (RAG), LLMs, and unstructured data processing. You will work closely with cross-functional teams to develop AI-driven systems that extract, interpret, and transform complex financial data into meaningful insights

Must-Have Skills:

5+ years of experience in AI/ML engineeringHands-on experience with RAG pipelines, including chunking, embeddings, vector databases, and query response optimization.Experience with unstructured dataKnowledge of OCR techniquesProficiency in FastAPIExperience with containerized environmentsFamiliarity with financial documentsExperience with vector databasesUnderstanding of multimodal AI techniques

Good-to-Have Skills:

Experience with LLM fine-tuningKnowledge of PyTorch or TensorFlowStrong communication and problem-solving skills

Responsibilities:

Design and implement RAG pipelines, including support for multimodal inputs such as text, tables, and images.Build AI applications that process unstructured financial documents (e.g., PDF, Word, scanned files) to extract insights, generate content, and enable Q&A.Develop solutions that convert financial documents into structured regulatory formats like XBRL/iXBRL.Integrate LLMs into production systems using FastAPI or similar frameworks.Use OCR techniques to extract information from scanned documents and embedded images.Collaborate with data scientists, engineers, and product managers to deliver business-aligned AI solutions.Optimize model performance for scalability, accuracy, and cost-efficiency.Contribute to the architecture and design of AI systems and participate in technical decision-making.Keep up to date with advancements in AI/ML, especially in the areas of RAG, multimodal processing, and LLMs

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