Senior ML Engineer

As an ideal candidate for this position, you will have a proven track record of applying your skills in the fields of autonomous vehicles, ADAS (Advanced Driver Assistance Systems), and manufacturing. You will have the opportunity to join a dynamic and innovative company that is at the forefront of computer vision and deep learning technologies. If you have a passion for solving complex problems and a desire to make a meaningful impact, we would love to hear from you. **Key Responsibilities:** - Lead the design, development, and implementation of 2D and 3D computer vision algorithms and systems for various applications such as classification, detection, segmentation, key point estimation, image and video generation, image and video captioning, contrastive learning, embedding-based search, large language models, stable diffusion, visual question answering, and synthetic data generation. - Utilize your knowledge in MLOps, Kubernetes, Docker, and RESTful APIs, along with experience with cloud platforms like GCP and AWS to deploy and maintain computer vision systems effectively. - Apply your hands-on experience in autonomous vehicles, ADAS, and manufacturing to develop innovative solutions that address complex challenges in these domains. - Stay up-to-date with the latest advancements in computer vision technologies and techniques through research. - Collaborate with cross-functional teams to understand requirements and develop innovative solutions that align with the business needs. - Mentor and provide technical guidance to team members to foster their professional growth. - Work collaboratively in an agile environment with cross-functional teams to develop solutions that meet the business requirements effectively. **Qualifications:** - A Master's or Ph.D. in Computer Science, Computer Vision, Robotics, or a related field is required. - You should have at least 5 years of professional experience in computer vision research and development with a focus on the mentioned areas. - Strong programming skills in Python are essential for this role. - Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras is required. - Hands-on experience with MLOps, Kubernetes, Docker, and RESTful APIs, as well as knowledge of cloud platforms like GCP or AWS, will be beneficial. - A strong understanding of computer vision, image processing, and machine learning techniques is necessary. - Excellent problem-solving and analytical skills are crucial for success in this role. - Experience collaborating with backend and frontend software engineers in an agile environment will be advantageous. If you meet the qualifications and are excited about the opportunity to work on cutting-edge technologies in the field of computer vision, apply now and be a part of our innovative team. As an ideal candidate for this position, you will have a proven track record of applying your skills in the fields of autonomous vehicles, ADAS (Advanced Driver Assistance Systems), and manufacturing. You will have the opportunity to join a dynamic and innovative company that is at the forefront of computer vision and deep learning technologies. If you have a passion for solving complex problems and a desire to make a meaningful impact, we would love to hear from you. **Key Responsibilities:** - Lead the design, development, and implementation of 2D and 3D computer vision algorithms and systems for various applications such as classification, detection, segmentation, key point estimation, image and video generation, image and video captioning, contrastive learning, embedding-based search, large language models, stable diffusion, visual question answering, and synthetic data generation. - Utilize your knowledge in MLOps, Kubernetes, Docker, and RESTful APIs, along with experience with cloud platforms like GCP and AWS to deploy and maintain computer vision systems effectively. - Apply your hands-on experience in autonomous vehicles, ADAS, and manufacturing to develop innovative solutions that address complex challenges in these domains. - Stay up-to-date with the latest advancements in computer vision technologies and techniques through research. - Collaborate with cross-functional teams to understand requirements and develop innovative solutions that align with the business needs. - Mentor and provide technical guidance to team members to foster their professional growth. - Work collaboratively in an agile environment with cross-functional teams to develop solutions that meet the business requirements effectively. **Qualifications:** - A Master's or Ph.D. in Computer Science, Computer Vision, Robotics, or a related field is required. - You should have at least 5 years of professional experience in computer vision research and development with a focus on the mentioned areas. - Strong programming skills in Python are essential for this role. - Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras is required. - Hands-