Related skills
aws python tensorflow pytorch langchain📋 Description
- Develop and deploy AI/ML and GenAI models (NLP, summarization)
- Build scalable data pipelines and feature workflows from data
- Integrate AI into enterprise platforms via APIs and microservices
- Work with data from core banking platforms (Avaloq), CRM, and channels
- Enable AI use cases like client insights and next-best-action
- Implement model monitoring, governance, and performance optimization
- Collaborate with engineering and business teams to translate wealth use cases
- Experience with wealth management data (clients, portfolios, transactions)
- Understand data flows from core banking systems such as Avaloq
- Awareness of AI governance, model risk, and regulatory considerations in banking
🎯 Requirements
- Python (mandatory)
- ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
- GenAI/LLM frameworks: LangChain, OpenAI
- AWS (S3, Lambda, SageMaker, Bedrock)
- Data engineering (ETL pipelines, feature stores)
- API development
- Vector databases / embeddings
🎁 Benefits
- No forced hierarchy; growth as we grow
- Inclusive, diverse culture
- Career advancement opportunities
- Global client exposure across banking and energy
- Hybrid work in Pune
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