ML Platform Engineer

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data

דרישות:

5+ years in software engineering with experience in backend/platform roles.
5+ years of experience with Python.
Proficiency in another language, such as C++, Rust, Java, or Go, is an advantage.
2+ years of experience working with cloud platforms such as Google Cloud (preferred), Azure, or AWS, including familiarity with ML workflow frameworks like KFP or Vertex Pipelines.
Solid experience in ML/AI development (a must).
Experience with inference optimization (vLLM) and fine-tuning (Axolotl/Huggingface).
Expertise with transformers, PyTorch, CUDA, and other low-level ML libraries.
Familiarity with Docker and Kubernetes.
Excellent problem-solving skills and a proactive attitude, with a strong focus on code quality and optimization.
Collaborative mindset with the ability to work closely with cross-functional teams. Strong communication and teamwork skills are essential. המשרה מיועדת לנשים ולגברים כאחד.