Company Overview
Key Highlights:
- Work on an AI platform that autonomously builds tools for business needs like workflows, visual recognition, and predictive apps.
- Collaborate with a team of AI experts building products that merge speech recognition, visual AI, and data prediction in groundbreaking ways.
- Be part of a fast-growing Series B startup, with huge potential for personal and professional growth.
- Competitive salary plus equity options and a dynamic startup environment.
- Flexible hybrid working model based in London with great office perks, including on-site gym and wellness programs.
- Fantastic benefits including 25+ days holiday, healthcare, dental and vision insurance, and generous pension schemes.
We are partnering with a Series B AI software company that’s revolutionising the way businesses automate and innovate. Their product is far beyond typical AI—it’s a self-building AI platform that creates tailored tools and applications for business operations, all powered by the platform’s ability to predict what businesses need next. From automated workflows to customer insights, this AI doesn’t just respond to commands; it actively anticipates and develops the tools companies require for success in real-time.
The platform goes beyond typical AI capabilities by integrating visual AI, speech recognition, and natural language processing to build entire solutions from scratch. Imagine an AI that doesn’t just analyze data but builds new applications and tools automatically based on patterns it predicts in business needs. Whether it’s a new customer service tool, predictive sales analytics, or even AI-powered content creation, this platform transforms business operations with intelligence that evolves continuously.
This isn’t just a tool; it’s a platform that’s constantly adapting to its environment, creating innovations before businesses even know they need them. If you’re excited to work on an AI system that learns, predicts, and builds the future for enterprises, this is the opportunity you’ve been waiting for.
What You’ll Do
- Work on the platform’s core ability to build, modify, and deploy tools for businesses automatically based on AI-driven predictions.
- Develop and improve self-learning AI models that can create new applications and tools for a wide variety of business needs in real time.
- Research and build out predictive models that can forecast future business needs and automatically create solutions based on these predictions.
- Integrate visual AI to enable the system to generate image recognition, object detection, and even create automated design tools for clients in industries like retail, healthcare, and manufacturing.
- Explore speech recognition and NLP capabilities that allow the platform to automatically build new communication and voice-based tools for businesses.
- Experiment with reinforcement learning and other cutting-edge techniques to help the AI self-improve over time, adapting to new patterns and challenges.
- Apply your knowledge in machine learning to create tools that are not just reactive but proactively generate solutions for businesses based on data inputs and changing needs.
What We’re Looking For
- 1+ year(s) of experience in data science, AI, or machine learning, whether through internships or professional work.
- Bachelor’s degree in a technical field (e.g., Computer Science, Data Science, Engineering, Statistics). A Master’s degree is a preferred but not required.
- Experience in Python with a focus on libraries such as NumPy, pandas, scikit-learn, PyTorch, and TensorFlow.
- Familiarity with AI tools that work on image recognition, speech-to-text or natural language processing (NLP).
- A passion for building the future—you’ll be responsible for creating AI that develops applications to improve business operations.
- Familiarity with predictive analytics or reinforcement learning is an advantage.
- The ability to work with large data sets, and experience with big data frameworks such as Spark or Hadoop is a bonus.
- Strong problem-solving skills, creativity, and the drive to push the boundaries of what AI can achieve for business operations.
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