5 years

20 - 25 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job: Sr. AI Manager

  • Location: Navi Mumbai
  • Notice Period: 30 days
  • Job Type: Tech
  • Expected CTC: ₹ 20-25 LPA
  • Experience: 5 - 10 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 engineering
  • Hands-on experience with RAG pipelines, including chunking, embeddings, vector databases, and query response optimization.
  • Experience with unstructured data
  • Knowledge of OCR techniques
  • Proficiency in FastAPI
  • Experience with containerized environments
  • Familiarity with financial documents
  • Experience with vector databases
  • Understanding of multimodal AI techniques

Good-to-Have Skills

  • Experience with LLM fine-tuning
  • Knowledge of PyTorch or TensorFlow
  • Strong 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
Skills: pytorch,rag pipelines,llm fine-tuning,ai/ml engineering,ai manager,ocr techniques,google tensorflow

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