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 thats 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.
Role Responsibilities
- Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies.
- 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.
- Actively collaborate with BD team in the pre sales activities, including but not limited to presenting the company to new prospective clients, writing decks and proposals, participating in calls and meetings, and representing Instadeep in conferences / events.
- Collaborate with the Research team to drive high-impact innovation by tackling previously unsolved problems with AI.
- Contribute to recruit, manage, and coach a high performing engineering team
- Follow and report to the Engineering department management about the performance of teams and projects
- Supervise the delivery of identified client projects
- Lead the development of Machine Learning-based software, ensuring the execution and successful delivery of high-quality solutions for products and/or client projects
- Organise code reviews to drive best practices and maximise productivity of team members
- Postgraduate degree in Computer Science, Mathematics or a related scientific field from Elite University.
- 5+ years of experience in commercial software development
- Experience in developing and debugging production-level Python. Knowledge of C/C++, GoLang and other languages is a strong plus.
- Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Keras.
- Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions.
- Proficiency with Git workflow, development with best coding practices.
- Experience in deploying software to production using Docker and Kubernetes. Proven track-records of recruiting, developing, coaching engineering teams in small-medium business
- Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming.
Postgraduate degree in Computer Science, Mathematics or a related scientific field from Elite University. 5+ years of experience in commercial software development Experience in developing and debugging production-level Python. Knowledge of C/C++, GoLang and other languages is a strong plus. Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Keras. Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions. Proficiency with Git workflow, development with best coding practices. Experience in deploying software to production using Docker and Kubernetes. Proven track-records of recruiting, developing, coaching engineering teams in small-medium business Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming.
