Solutions AI Engineer

This role offers an unparalleled opportunity to transform cutting-edge AI research into customer-empowering solutions, propelling us towards making a substantial impact across diverse industries. This unique opportunity would be part of our new engineering team we are setting up in the UK, so come join us in this transformative journey.

Key Role Responsibilites:

• Domain Expertise: Utilize your deep understanding of various industries to identify and address specific problems and opportunities solvable with AI/ML.

• Use-Case Analysis: Collaborate with clients and internal teams to analyze real-world use cases and business problems within different domains.

• ML Experience: Apply your experience in AI/ML use cases, particularly in NLP and computer vision, to develop solutions that address complex challenges in different domains.

• Solution Development: Develop end-to-end (E2E) workflows and starter kits that simplify the deployment and adoption of AI/ML solutions for our clients.

• Data Analysis: Analyze and preprocess data relevant to specific industries, ensuring its suitability for AI/ML workflow.

• Model Fine-tuning: Fine-tune machine learning models (large language models, vision models) and workflows that are tailored to address industry-specific challenges.

• Testing and Validation: Conduct rigorous testing and validation of solutions to ensure their effectiveness in solving industry-specific problems.

• Documentation: Maintain comprehensive documentation of the solutions provided, E2E workflows, and starter kits, along with best practices for addressing challenges in various industries.

• Continuous Learning: Stay up-to-date with the latest developments in AI/ML and different industries to drive innovation.

Skill we look for:

• 7+ years of proven experience in the AI/ML domain, with a strong track record of solving customer-specific use cases in different domains.
• Bachelor's or Master's degree in a relevant field, such as Computer Science, Engineering, or related disciplines
• Extensive experience working across multiple industries, with a solid understanding of industry-specific challenges and opportunities.
• Proficiency in AI/ML frameworks and tools (e.g., Langchain, LlamaIndex, PyTorch etc.).
• Strong programming skills in Python.
• Strong communication and collaboration skills.
• Strong data analysis skills.
• Client interaction skills but not necessarily customer facing
• Bachelor's or Master's degree in a relevant field, such as Computer Science, Engineering, or related disciplines.

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