Are you passionate about advancing the frontiers of Artificial Intelligence and Machine Learning?
Join us as a Machine Learning Engineer, where you'll play a key role in designing, building, and deploying innovative AI solutions that drive our cutting-edge products. Work alongside talented data scientists and engineers in a collaborative environment that encourages continuous learning and pushing boundaries.
Responsibilities
Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration
Partner with Data Scientists and Engineers to bring AI solutions to production
Supervise, review and validate pull requests, deployment, and development flows in the AI team
Drive continuous improvements in MLOps processes and tools
Sponsor the creation of new software and ML standards in the AI team
Interact with other functions and agree on data exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …)
Ensure adherence to best practices in ML model governance and compliance
Keep up to date with the latest trends in AI and MLE
Profile
>3 years' experience in a Machine Learning Engineer or Data Scientist role
>3 years' experience with production-level Python code, strong programming skills. Bonus: having contributed to AutoML libraries, SaaS AI products.
>3 years' experience in machine-learning methodologies (Machine Learning and Deep Learning)
Familiarity with cloud-based infrastructure and services (AWS preferred)
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Experience with version control and CI/CD systems (GitHub Actions preferred)
Ability to work in a fast-paced environment and learn quickly
Enthusiasm for the latest advances in Generative AI
(Bonus) Cloud certifications (preferably AWS)
(Bonus) Background in product or AI SaaS companies
(Bonus) Experience with GenAI stack: OpenAI, Claude, Langfuse, GenAI APIs, Langchain, PyTorch
(Bonus) Proven track record of applying LLMs to improve their personal productivity
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Machine Learning Engineer Q&A's