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Presales Solution Architect

Presales Solution Architect (BBBH14809) London, England

Join us in leveraging cutting-edge AI research to create impactful solutions across diverse industries.Currently we are partnered with a pre-IPO, GenAI organisation in helping them scale their business to reach their mission to IPO with the next 3 years. We are seeking individuals with exceptional talent to embark on this transformative journey with us.

Key Responsibilities:

  • Leverage deep industry expertise to identify and address specific challenges and opportunities solvable with AI/ML.
  • Collaborate with clients and internal teams to analyze real-world use cases and business problems across different domains.
  • Apply expertise in AI/ML, particularly in NLP and computer vision, to develop solutions for complex challenges within various industries.
  • Develop end-to-end workflows and starter kits to simplify AI/ML solution deployment and adoption for clients.
  • Analyze and preprocess industry-specific data to ensure suitability for AI/ML workflow.
  • Fine-tune machine learning models and workflows tailored to address industry-specific challenges.
  • Conduct rigorous testing and validation of solutions to ensure effectiveness in addressing industry-specific problems.
  • Maintain comprehensive documentation of solutions, workflows, and best practices for addressing industry challenges.
  • Stay updated with the latest AI/ML and industry developments to drive innovation.

Basic Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
  • 5+ years of proven experience in AI/ML, with a track record of solving customer-specific use cases.

Additional Required Qualifications:

  • Extensive experience across multiple industries with a solid understanding of industry-specific challenges and opportunities.
  • Experience fine tuning LLM's
  • Proficiency in AI/ML frameworks and tools (e.g., Langchain, LlamaIndex, PyTorch, etc.).
  • Strong programming skills in Python.
  • Excellent communication and collaboration skills.
  • Strong data analysis skills.
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