About the company Established in 2019 Credit Saison India CS India is one of the country s fastest growing Non-Bank Financial Company NBFC lenders with verticals in wholesale direct lending and tech-enabled partnerships with Non-Bank Financial Companies NBFCs and fintechs Its tech-enabled model coupled with underwriting capability facilitates lending at scale meeting India s huge gap for credit especially with underserved and under penetrated segments of the population Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs households individuals and more Credit Saison India is registered with the Reserve Bank of India RBI and has an AAA rating from CRISIL a subsidiary of S P Global and CARE Ratings Currently Credit Saison India has a branch network of 80 physical offices 2 06 million active loans an AUM of over US 2B and an employee base of about 1 400 employees Credit Saison India is part of Saison International a global financial company with a mission to bring people partners and technology together creating resilient and innovative financial solutions for positive impact Across its business arms of lending and corporate venture capital Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people Saison International is the international headquarters IHQ of Credit Saison Company Limited founded in 1951 and one of Japan s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange The Company has evolved from a credit-card issuer to a diversified financial services provider across payments leasing finance real estate and entertainment Based in Singapore Saison International s global operations span over Singapore India Indonesia Thailand Vietnam Mexico Brazil with active investments in debt equity corporate venture capital and technology Roles Responsibility Partner with business product and engineering stakeholders to design and implement enterprise-scale AI solutions with a solid emphasis on Generative AI applications LLMs multimodal agentic AI Define and own the AI ML roadmap for key problem areas balancing near-term delivery with long-term innovation Lead design prototyping and deployment of Generative AI models GPT Claude LLaMA Mistral Stable Diffusion for production use cases Build and optimize data pipelines retrieval-augmented generation RAG systems embedding strategies and integrations with vector databases FAISS Pinecone Weaviate Milvus Ensure robust model training fine-tuning LoRA PEFT orchestration LangChain LlamaIndex monitoring and governance Lead debugging and optimization of AI systems for latency throughput cost and model drift bias Collaborate with ML engineers data scientists and MLOps teams to design scalable deployment pipelines using modern cloud and containerized environments Mentor and guide engineers setting best practices for experimentation evaluation and production readiness Keep abreast of latest AI ML research in LLMs CV NLP and multimodal learning driving adoption of cutting-edge methods Translate complex AI concepts into business outcomes for non-technical stakeholders Required Skills 5-10 years of experience in AI ML engineering with at least 3 years delivering Generative AI models into production Bachelor s Master s PhD in Computer Science Mathematics Statistics or related field from a top-tier institution IITs NITs BITs etc Strong applied programming skills in Python SQL R and experience with data science libraries such as NumPy Pandas MatLab scikit-learn Proven experience with deep learning frameworks PyTorch TensorFlow Keras MXNet Caffe Familiarity with NLP and ML libraries Transformers SparkNLP Gensim SpaCy NLTK Hugging Face Experience building and fine-tuning LLMs and integrating them with orchestration frameworks LangChain LlamaIndex Expertise with vector databases Pinecone FAISS Weaviate Milvus and knowledge of embedding retrieval patterns Cloud-native ML experience AWS Sagemaker GCP Vertex AI Azure ML and containerization Docker Kubernetes Applied knowledge of classical ML algorithms SVM Decision Trees Random Forests regression clustering alongside modern DL GenAI approaches Strong knowledge of CI CD for ML model observability MLflow Weights Biases LangSmith and governance frameworks Excellent problem-solving skills communication and ability to lead technical teams

📌 Lead Ai Engineer (Karnataka)
🏢 Credit Saison
📍 Karnataka