Address InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.
Join us to be a part of the AI revolution!
Are you an ML Ops Engineer - Team Leadpassionate about Product & Innovation?
If so then keep reading…
As ML Ops Engineer - Team Lead you will be working at the intersection of machine learning and engineering (i.e., ML Ops), leading teams to deliver innovative and high-quality services. You will be a strong advocate for both engineering standard methodologies (e.g. code reviews, unit testing) and also the adoption of new technologies.
Responsibilities
- Work end-to-end on the ML lifecycle, from data exploration to model operationalization, and Partner with different teams and domains on crafting, explaining, and implementing ML models.
- Collaborate with data engineers, data scientists, product, etc in a multi-functional team for the delivery and maintenance of these solutions and business integration
- Working closely with the other department to understand their needs and recommend appropriate solutions, and support the customer on an on-going basis.
- Led sprint planning sessions, retrospectives, and code reviews
- Staying up-to-date with a fast-moving industry, embracing new tools and frameworks
- Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology architecture and implementation details.
- Leading by example: demonstrating what good looks like through doing
- Helping to grow the team by taking part in hiring and interviewing.
Requirements
- Bachelor’s Degree in a Science or Engineering related discipline.
- A passion for coding, data science, and open-source technologies.
- 4+ years of experience in a senior engineering role.
- Ability to lead and mentor a small team of developers.
- Excellent communication skills; both in customer-facing and internal team communication.
- Experience in team management Experience delivering software using an agile development methodology.
- Fluency in Python programming and willingness to learn new languages and technologies as needed. Knowledge of Go is a plus.
- Experience with cloud computing, for example, AWS, Google Cloud, or Azure, along with modern DevOps tools and techniques.
- Fluent in our core software tooling: Git, Unix/Linux, Docker, CI/CD. Has a strong opinion on their IDE/editor of choice
- Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential.
- Knowledge of MLOps is not essential, but some awareness of this emerging space is good to have.
- Experience with Kubernetes is a strong plus
- Fluency in English
Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note that you will require the legal right to work in the location you are applying for.
