As an ML Engineer, you will wear multiple hats across our ML pipeline, including: solution architecting of AI/ML based solutions, CI/CD practices, DevOps, MLOps principles, data pipelines and data cleansing. The role will revolve around developing & productionising ML prototypes developed at Tenyks, and integrating them into the Tenyks product.
This will involve working directly with the product manager, software engineers, and ML Research Engineers in order to understand why a given feature is required and how best to implement & integrate it into the Tenyks Product.
We are a small but dedicated team and expect everyone to be self-driven, comfortable working in our dynamic and fast-paced environment, and embrace the challenges we face.
Machine Learning Engineer , Flock SafetyFull Time Employment
Lead Machine Learning Engineer, HackerRankFull Time Employment
Machine Learning Engineer, Hyper OnlineFull Time Employment
Machine Learning Engineering Intern (MsC or above), Flagright
Software Engineer, ML Tooling, Flock SafetyFull Time Employment
Let's simplify your job search. Receive your tailored set of opportunities today.Subscribe to our Jobs