What you'll do:

• Develop and deploy advanced deep learning models for automotive applications, including object detection, classification, and localization.
• Collaborate closely with cross-functional teams to integrate machine learning solutions into automotive systems, ensuring alignment with industry standards and best practices.
• Stay abreast of the latest advancements in deep learning and related fields, actively contributing to our organization's innovation roadmap.
• Lead and mentor junior team members, fostering a culture of continuous learning and growth.
• Translate complex business requirements into actionable insights and solutions, driving tangible impact in the automotive domain.

What makes you a great fit:

• 6-8+ years of hands-on experience in deep learning, neural networks, CNNs, RNNs, or related fields.
• Proven track record of success in the automotive, ADAS, or autonomous vehicles domain.
• Proficiency in programming languages such as Python, with experience using deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of computer vision techniques and algorithms.
• Excellent communication skills and ability to collaborate effectively across diverse teams.