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Coders Connect is thrilled to be partnering with an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. The company has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. They have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In their mission to stay ahead of the curve, they are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. They are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.

Are you a Research Engineer capable of designing and creating the algorithms capable of learning and making predictions that define machine learning? If so then keep reading .

• Design and implement highly scalable algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.
  
• Collaborate with the Research department to facilitate research that enables learning the semantics of data (images, video, text, audio, and other modalities).
  
• Apply knowledge of relevant research domains along with expert coding skills to develop industrial solutions (POC, MVP, fully deployed solution) and products (platforms and frameworks).
  
• Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
  
• Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.
  
• Upon request, collaborate with the business development team in their pre-sales activities, including but not limited to presenting the company to new prospective clients, and representing InstaDeep in conferences/events.
  

Requirements

• A B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Reinforcement Learning, or in a related field.
  
• 2-5 years experience.
  
• Excellent knowledge of Machine Learning and Deep Learning algorithms and models.
  
• Good understanding of Reinforcement Learning.
  
• Experience in developing and debugging production-level Python or similar languages. Knowledge of C/C++ is a strong plus.
  
• Experience with autograd libraries such as TensorFlow, PyTorch, Keras, or JAX.
  
• Proficiency with version control (Gitlab, Github) and best coding practices.
  
• Experience with CI/CD tools to automate building, testing and deployment of ML projects.
  

• Research and software engineering experience demonstrated via previous work, contributions to open source, or coding competitions.
  
• Reinforcement Learning, Computer Vision, Representation Learning, or Natural Language Processing experience.