Role Overview
We are seeking a highly skilled and experienced Senior Data Scientist with a strong background in Python programming, NLP, and AI/ML technologies, including advanced concepts and practical experience with FastAPI/Flask, Transformers, and Generative AI (GenAI). The ideal candidate should have a minimum of 7 years of experience in Data Science and Machine Learning, with a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in cloud services such as AWS and Azure, as well as MLOps practices, will be critical in this role.
Responsibilities
- Your technical responsibilities include but are not limited to:
- Design and implement AI/ML solutions using NLP and Transformer models, and leverage GenAI capabilities to enhance application intelligence.
- Manage AWS cloud infrastructure and services including S3, EC2, Lambda, RDS, Glue, Sagemaker, EMR, and Step Functions to build and deploy scalable machine learning models.
- Utilize AWS Batch for efficient batch computing and maintain code repositories with GIT for version control and collaboration.
- Apply MLOps and LLMOps methodologies to automate the machine learning lifecycle, ensuring models are scalable, maintainable, and reliable.
- Develop and maintain APIs using FastAPI for seamless integration of AI/ML models into applications.
- Work with Bedrock and EKS to orchestrate containerized applications, ensuring high availability and scalability of AI services.
Requirements
- Proven track record with at least 5 years of experience in a technical role focused on AI/ML.
- Expertise in AI/ML frameworks, NLP, Gen AI and Transformer technologies.
- Strong experience with AWS cloud services, particularly for data processing and AI Sage maker.
- Proficiency in MLOps practices and familiarity with LLMOps.
- Experience with FastAPI or similar frameworks for API development.
- Knowledge of container orchestration with AWS EKS and Bedrock.
- Exceptional problem-solving abilities, analytical mindset, and effective communication skills.
Mandatory:
- Experience in end to end GenAI and AI/ML projects (design to implement to deploy) in banking industry
- Cloud Platform experience like AWS
- Experience with Any Vector DB/Graph DB
- Strong Experience in Prompt Engineering, RAG Pipeline and conceptual knowledge in Fine Tuning pipeline
- Good experience in Performance Tuning, Testing, Tracing
- Agentic frameworks like crew, autogen, langgraph, swarms, autonomous agent any Agentic framework
- Have done Integration with backend systems with Gen AI applications
Good to have:
- Exposure to Cloud Services, Cloud Storage, Compute Services, Application Services
- Exposure to MLOps/LLMOps
- Relevant Certifications
Domain Skills (in any of the below sectors):
- Banking:
- Retail/Consumer/personal Banking, Commercial/Corporate Banking, Investment Banking
- Regulation and Compliance
- Relevant Certifications
- Insurance:
- KYC, Onboarding, Policy, Plans, Premium, Payments, Renewal, Claim
- Regulation and Compliance
- Relevant Certifications
Good to Have Other Skills
- Team handling experience and architecture design experience.
- Proficiency in creating and delivering Powerpoint presentations.
- Knowledge of Responsible AI practices and Nvidia MLOps platform.
- Experience with fine-tuning open-source AI/ML models.
- Familiarity with DevOps practices, including continuous integration, deployment, and monitoring of AI models.
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