Data Scientist

Mandatory skills : Machine Learning, Python for Data Science, TensorFlow, PyTorch, or JAX, MLOps

Good To Have :

• Generative AI
• LLM, RAG,
• SQL and NoSQL databases
• Cloud Platforms (AWS/ Azure/ GCP)

Job Description / Roles & Responsibilities (in Detail) Qualifications:

• Minimum of 2-3 years of experience in AI/ML engineering with a focus on natural language processing and generative models.
• Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention.
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or JAX.
• Knowledge of personal banking products is a plus
  
• Expertise in use cases that are transforming products, services, and customer experience.
• Drive data driven personalization, customer segmentation, in accordance with banks data privacy and security standards
• working Knowledge and experience in ML Ops is a must and engineering background is preferred
• Excellent command of data warehousing concepts and SQL
• Cloud Platforms: Knowledge of AWS, GCP, or Azure services.
• Knowledge in Gen AI, LLM, RAG & Langchain is good to have