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    AI Leader, Architect, Engineer, and Scientist

    £ 100,000 - £ 100,000 per year
     

    Job Description

    Job Title: AI Leader, Architect, Engineer, and Scientist (circa. £100k)

    Company: A stealth-mode AI startup focused on decision intelligence.

    TD47163

     

    About Us: We are revolutionizing AI with a ground-breaking intelligent engine that comprehends context, cause, and effect. Our mission is to enable 'Decisions Intelligence' with a competitive AI Co-pilot for organizations worldwide. We infuse Decision Intelligence with advanced multi-modal AI and transform enterprises into data-driven, AI-enabled entities to fuel business growth.

    About You: We seek a technical ninja with deep expertise in the AI framework, from silicon infrastructure to Generative, Creative, Contextual, and Causal AI. You're an innovative T-shaped technologist, translating broad business fundamentals into deep technical solutions. Your mastery of computer science, statistical modeling, ML, Deep Learning, and various neural network architectures is complemented by a passion for innovation. You're engaged with the research community, an algorithmic innovator, and a business ninja who thrives on problem-solving.

    Skills Required:

    • Familiarity with AI technologies like GPT, GNN, CNN, RNN, Knowledge graphs
    • Proficiency in C++, Python, Numpy, Scipy, Sklearn, XGBoost, Keras, MongoDB, Cassandra, Django, Celery, Postgres, Redis, Ansible, Azure, AWS, GCP, GPU/TPU, Kubernetes
    • Experience with Foundational models and Generative AI (e.g., GPT4, Stable Diffusion, DALL-E 2)
    • Expertise in SQL/NoSQL, GitHub co-pilot, various IDEs
    • Knowledge of databases (SQL, NoSQL, MongoDB, Cassandra, Google BigQuery, Spark, Databricks, Neo4J, Pinecone, Weaviate), vector databases, and vector search
    • Familiarity with knowledge graph approach with vector embeddings, e.g., LlamaIndex (GPTIndex)
    • Active contribution to open-source projects and innovative tooling solutions

    Responsibilities:

    • Oversee and design AI architectures, algorithms, and develop them
    • Review generative, creative, causal discovery, ML pipelines, metrics, and benchmarks
    • Manage the engineering pipeline, assign tasks, and manage deliverables
    • Discover new product opportunities and own the Core-engineering and applied 1st party application product roadmap
    • Set team objectives, hold regular check-ins, and drive productivity and efficiency
    • Develop the team and assist other AI experts

    Perks: Join us on the ground floor to pioneer next-generation AI. We offer a work-life balance, flexible hours, a learning environment, competitive remuneration, generous stock options, pension scheme, unlimited holidays, and more.

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