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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום אחר

תל אביב - יפו

חברה בתחום אחר

תל אביב - יפו
מלאה
35,000-50,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

we are looking for a AI Software Tech Lead, ML Platform.
This is an AI Software Tech Lead role within AI Engineering group - working side by side with Algo teams to build and evolve AI solutions that deliver real clinical impact. Youll take ownership of the design and development of AI-driven systems, leading projects that turn advanced models into scalable, reliable components within platform. The role is highly hands-on and combines technical excellence with leadership - guiding design decisions, mentoring engineers, and collaborating across Algo, Product, and Engineering to ensure alignment, robustness, and impact.
Responsibilities:
Build and evolve the AI-specific infrastructure and components that enable robust, scalable model training and serving, working side by side with Algo teams to co-design interfaces, workflows, and deployment strategies
Stay deeply hands-on, driving complex technical work while setting high standards for design, code quality, and execution
Own project-level architecture and key technical decisions, ensuring sound design choices and smooth collaboration across teams
Promote engineering excellence and mentorship, fostering maintainable systems, clean code practices, and continuous learning
Communicate clearly and proactively throughout design and development-articulating goals, progress, and technical decisions to all relevant stakeholders
Collaborate across Algo, Product, and Engineering to ensure technical alignment, clear interfaces, and cohesive delivery
Continuously evaluate and adopt new tools or frameworks-from cloud infrastructure to orchestration and MLOps practices-that improve efficiency and long-term scalability.

Requirements:
Masters or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience
7+ years of software engineering experience, demonstrating technical ownership of complex systems and strong end-to-end execution.
Proven experience designing and delivering AI systems or components-from architecture to deployment-with a focus on robustness, efficiency, and maintainability
Proven experience leading others down a technical path, providing value to complex projects by providing insight and experience driven advice, seeing things others might not and engaging stakeholders collaboratively and productively
Strong proficiency in Python and familiarity with modern ML/DL frameworks (e.g., PyTorch, TensorFlow), with experience building or supporting systems that incorporate ML/DL models
Solid foundation in computer science fundamentals, including system design, distributed systems, and performance optimization
Familiarity with cloud and MLOps environments (e.g., Docker, Kubernetes, or model-serving frameworks
Excellent communication and collaboration skills, with the ability to align technical decisions across Algo, Product, and Engineering
A proactive, ownership-driven mindset, combining curiosity, initiative, and attention to detail throughout design and development; experience in healthcare or medical imaging is a plus.

This position is open to all candidates.