Gen AI Lead
Position: Gen AI Lead
Location: London, UK (Hybrid 2 days onsite a week)
Duration: Full Time
Job Description:
Core AI/ML Foundations:
o Strong foundational knowledge in GenAI, Machine Learning (ML modelling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).
Generative AI & LLM Expertise:
o Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.
o Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.
o Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
o Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
o Hands-on experience with agentic framework-based use case implementation.
o Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.
Programming & Data Engineering:
o Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
o Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
o Hands-on experience with various vector databases (eg, PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.
o Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.
Deployment & MLOps:
o Critical: Hands-on experience deploying GenAI-based models to production environments.
o Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.
o Strong expertise in CI/CD principles and tools (eg, Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.
Cloud & Containerization:
o Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment.
Soft Skills:
o Strong problem-solving abilities, excellent collaboration skills for working effectively with cross-functional teams, and the capability to work independently on complex, ambiguous problems.