Key Responsibilities
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- Architect Solutions: You will be responsible for designing and optimizing scalable ML systems, with a focus on computer vision applications.
- Build & Deploy Models: Your role will involve developing and productionizing deep learning models using Python and modern ML frameworks.
- Lead Cross-Functionally: You will align research, engineering, and product goals through hands-on leadership.
- Mentor & Guide: Supporting junior team members and promoting best practices in ML development will be part of your responsibilities.
- Engage Customers: Collaborate directly with enterprise clients to ensure seamless integration of AI solutions.
- Drive Innovation: Evaluate and implement recent AI tools and methodologies to enhance performance and scalability.
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Qualifications Required
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- Applied AI Expertise: You should have a minimum of 5 years of experience in building ML systems, particularly in computer vision.
- Strong Python & ML Skills: Proficiency in Python and ML libraries such as PyTorch and TensorFlow is essential.
- Production Experience: Hands-on experience with deploying ML models in production environments is required.
- Cloud & Data Engineering: Knowledge of cloud platforms, ideally AWS, and scalable data pipelines is necessary.
- Collaboration & Communication: Ability to work across teams and communicate complex ideas clearly.
- Problem-Solving Mindset: Analytical thinking and a focus on continuous improvement are crucial for success.
In addition to the responsibilities and qualifications mentioned above, you will have the opportunity to work in a dynamic environment where you can collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most.
