Sr. AI Manager- Navi Mumbai
23 hours ago
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 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: ocr techniques,ai/ml engineering,llm fine-tuning,rag pipelines,ai manager,google tensorflow,pytorch
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