Vector.ai

Forward Deployed Machine Learning Engineer - India

Job description

We are a dynamic UK-based technology company that is fundamentally changing the way international logistics operates. We’re searching for a Forward Deployed ML Engineer, who is excited by the prospect of working at the bleeding edge of high tech in a rapidly growing scale-up. As we establish a global presence, we're expanding our team in India at pace and looking for fantastic engineers to join us. We've recently raised our Series A round from leading US investor Bessemer Venture Partners (LinkedIn, Twilio, Shopify) alongside Episode 1 (Zoopla, Betfair, Shazam) and supply chain-focused fund Dynamo Ventures (Sennder, Stord).

You'll directly work with customers and their teams, effectively managing the relationship with them and iterating over the ML models to customise and improve results for their specific use cases. You will also be a part of our efforts to remain at the bleeding edge of machine learning by contributing to the implementation of ML models in production across the technology stack. We specifically want somebody who can:

  • Directly work with the customer and undertake strategic planning to meet their needs.
  • Implement and develop machine learning models in a scalable product architecture
  • Establish a data management pipeline to dynamically update core algorithms
  • Bring machine learning systems into full production, working closely with members of the product and engineering teams
  • Optimize existing implementations of machine learning models in production
  • Optimize open source implementations of research code to production ready systems
  • Communicate clearly, both with internal teams and customers.

Requirements

  • Have a very solid grasp of both software engineering and machine learning fundamentals.
  • Work with python and a few common machine learning frameworks, including but not limited to Tensorflow, Keras and Pytorch
  • Have experience building and deploying machine learning applications at scale
  • It would also be good to have the following experience:
    • Grasp of the fundamentals of all major aspects of modern artificial intelligence - computer vision, natural language processing, etc.
    • 3+ years industry experience building and deploying machine learning applications
    • Be familiar with working on real-world unstructured and noisy datasets
    • Good understanding of MLOps practices

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