Designation : Team Lead (Machine Learning). Job Description Responsibilities : Understand software/system components and associated specifications. Modify and optimize model architectures using techniques like hyperparameter tuning, validation/test strategy adjustments, and selection of appropriate loss and activation functions. Apply knowledge of visual foundation models (YOLO, MAE, GroundingDINO) to enhance model performance. Optimize neural architectures for production deployment, focusing on efficiency and resource utilization. Apply statistical techniques for data analysis and model evaluation. Develop and implement effective validation and testing strategies. Utilize data analysis to identify and address model biases and performance bottlenecks. Develop and implement heuristics for post-inference processing to reduce false positives and improve model accuracy. Design and implement algorithms for object tracking, segmentation, and other computer vision tasks. Ensure seamless deployment of machine learning models to production environments. Monitor model performance in production and implement strategies for continuous improvement. Troubleshoot and resolve issues related to model deployment and performance. Provide technical guidance and mentorship to junior team members. - Conduct code reviews and ensure adherence to coding standards and best practices. - Foster a collaborative and knowledge-sharing environment. Skills Required Strong foundation in mathematics and statistics, including calculus, linear algebra, and Bayesian statistics. Working knowledge of CNN-based architectures for imaging or video applications. Good understanding of visual foundation models (YOLO, MAE, GroundingDINO). Proficiency in TensorFlow/Keras APIs. Expertise in OpenCV library. Knowledge of image processing and/or audio signal processing (a plus). Proficiency in Python, C/C++. Experience with GPU programming (CUDA) for TensorFlow/PyTorch frameworks. Understanding of various optimization techniques for production deployment. Demonstrable track record of delivering machine learning models to production environments. Strong analytical and problem-solving abilities. Quick adaptation to new technologies, methodologies, and systems. Self-starter with a positive attitude. Ability to proactively identify issues and opportunities for improvement. Mature and able to understand the business perspective of requirements. Excellent interpersonal skills for interacting with team members and stakeholders. Good leadership qualities. Ability to mentor junior team members. 2+ years of work experience in the field of Machine Learning/Artificial Intelligence. (ref:hirist.tech),
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Venera Technologies - Team Lead - Machine