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.
Thank you for your interest in this role. Please also share your CV at Vedika@lsarecruit.co.uk and if suitable, we will get in touch with you to discuss further.