AI/ML Engineer
London, UK
£50 000 - £60 000
Permanent
About:
We are a stealth-mode AI startup focused on revolutionizing enterprise efficiency with cutting-edge AI-powered SaaS solutions. Backed by seasoned leadership. we’re setting new benchmarks for AI innovation in the enterprise world.
Role Overview:
As the AI/ML Engineer, you’ll be a key player in architecting and developing advanced AI/ML models tailored to solve real-world enterprise challenges. Your work will directly contribute to building a high-impact AI SaaS platform designed to optimize and transform business operations across industries.
Key Responsibilities:
- Lead the development, fine-tuning, and deployment of machine learning models for enterprise-grade applications.
- Collaborate with a cross-functional team to build and maintain scalable MLOps pipelines.
- Apply Langchain and Llama Index to enhance AI-driven efficiencies and support advanced data workflows.
- Optimize model performance, focusing on speed, accuracy, and scalability to meet evolving enterprise demands.
- Stay ahead of AI/ML trends and ensure the integration of the latest tools and techniques.
Required Skills & Experience:
- Proven Experience: 3+ years of experience working on AI/ML models and scalable MLOps solutions.
- Tech Stack Proficiency: Strong knowledge of Python, Langchain, Llama Index, and other modern AI/ML frameworks and libraries.
- Enterprise AI Expertise: Experience working on fine-tuning models and AI solutions for enterprise environments.
- Innovative Mindset: Passionate about pushing the boundaries of AI technology, with a keen eye for how to apply innovations to solve business problems.
- Collaboration: Ability to work effectively in a hybrid, cross-functional team, with excellent communication skills.
Why Join Us?
- Founding Team: Work alongside industry veterans from Amazon, Huawei, and Samsung.
- Career Growth: Opportunity to lead and grow as our AI/ML expert from the ground up.
- Cutting-edge Technology: Be part of the evolution of AI, leveraging the latest tools and techniques.
- Hybrid Work: Enjoy a flexible work model with the best of both worlds—collaborate in person and remotely.
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