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8.0 - 12.0 years

0 Lacs

chennai, tamil nadu

On-site

As an AI Manager, you will lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. Your responsibilities will include developing and maintaining the infrastructure required for the deployment and execution of algorithms at scale. You will collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. It will be your duty to optimize algorithm performance and resource utilization to meet business objectives. To excel in this role, you must stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies and apply them to improve our systems. You will drive continuous improvement in development processes, tools, and methodologies. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in developing computer vision and image processing algorithms and ML/DL algorithms. - Familiarity with high-performance computing, parallel programming, and distributed systems. - Strong leadership and team management skills with a track record of successfully leading engineering teams. - Proficiency in programming languages such as Python, C++, and CUDA. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. Preferred Qualifications: - Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with GPU architecture and algorithm development toolkit like Docker, Apptainer. Minimum Qualifications: - Bachelor's degree plus 8+ years of experience. - Master's degree plus 8+ years of experience. - Ph.D. with 6 years industry experience or M.Tech. + 8 years experience or B.Tech. + 10 years experience. - Minimum 3 years of experience working as a Manager (only Lead experience will not qualify). - 8 years of experience in any of the programming languages such as Python/C++/CUDA. - 8 years of experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. - 5 years of experience in Image processing. - Product Company Experience is a MUST. Candidates from engineering product companies have higher chances of selection. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT) are preferred.,

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8.0 - 12.0 years

0 Lacs

chennai, tamil nadu

On-site

As a Lead Algorithm Engineer, you will be responsible for leading and mentoring a team of algorithm engineers to ensure their professional growth and success. You will play a crucial role in developing and maintaining the infrastructure necessary for deploying algorithms at scale. Collaboration with data scientists, software engineers, and product managers is key to designing and implementing robust and scalable algorithmic solutions. Your expertise will be essential in optimizing algorithm performance and resource utilization to achieve business objectives. Staying up-to-date with the latest advancements in algorithm engineering and infrastructure technologies is paramount. By applying these advancements, you will contribute to enhancing our systems. Driving continuous improvement in development processes, tools, and methodologies is an integral part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your proven experience in developing computer vision, image processing algorithms, and ML/DL algorithms will be a valuable asset. Proficiency in programming languages such as Python, C++, and CUDA is required. Additionally, you should possess strong leadership and team management skills, along with excellent problem-solving and analytical abilities. Effective communication and collaboration are essential qualities for success in this role. Preferred qualifications include experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. Familiarity with GPU architecture and algorithm development toolkits such as Docker and Apptainer is a plus. The minimum qualifications for this position include a Bachelor's or Master's degree along with at least 8 years of relevant experience. Familiarity with high-performance computing, parallel programming, and distributed systems is also expected.,

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