Requirements:

Bachelor's degree or equivalent practical experience.
8 years of experience in Software Development.
7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience in testing and launching scalable software products.

Preferred Qualifications:

Master's degree in Computer Science or other technical field.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with state-of-the-art genAI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision).

Design and build machine learning (ML) pipelines. Evaluate, integrate, and optimize ML models and agentic workflows.
Lead the design of generative AI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
Design, develop, test, deploy, maintain, and enhance large-scale AI-powered platforms and applications.
Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.

Pioneering work in the field of AI at one of the world's leading tech companies.
Opportunities for career growth and the chance to work on cutting-edge technologies.
Competitive salary and benefits package.
A supportive and diverse work environment with a commitment to equal opportunity and belonging for all employees.