Job Description
We are looking for a Senior Data Scientist with deep expertise in Generative AI to design and scale next generation AI solutions. The ideal candidate will have hands-on experience with Snowflake Cortex AI (Good to have) and AWS Bedrock, and a strong foundation in RAG architectures, LLMs, NLP, and Deep Learning.
This role is ideal for someone who enjoys solving complex business problems using cutting-edge AI technologies and working closely with stakeholders to drive real-world impact.
Key Responsibilities
Design, build, and deploy Generative AI solutions using Snowflake Cortex AI and AWS Bedrock
Architect and implement Retrieval-Augmented Generation (RAG) pipelines
Develop and fine-tune Large Language Models (LLMs)
Apply NLP and Deep Learning techniques for enterprise use cases
Optimize prompt engineering, embeddings, vector databases, and inference pipelines
Collaborate with engineering and business stakeholders to deliver AI-driven solutions
Ensure scalability, security, and performance of AI systems in production
Mentor junior data scientists and contribute to AI governance best practices
Mandatory Skills & Experience
6–9 years of experience in Data Science / Applied AI roles
Hands-on experience with AWS Bedrock and foundation models
Experience with Snowflake Cortex AI (Good to Have)
Strong expertise in RAG architectures
Strong understanding of LLMs, prompt engineering, embeddings, and vector search
Strong background in NLP and Deep Learning
Proficiency in Python and modern ML/AI frameworks
Experience deploying AI/ML solutions into production
Good to Have:
LangChain, LlamaIndex, Vector Databases (Pinecone, FAISS, Weaviate), MLOps / LLMOps practices, Consulting or client-facing experience.
Educational Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or related quantitative fields.
Certifications in AI, Data Science, Big Data, or Cloud Technologies are a plus.