Senior Machine Learning Engineer - AI

Description :Responsibilities :- Design, develop, and deploy machine learning models for video processing and vision applications, including object detection, segmentation, tracking, and analysis.- Work on vision-language models that combine visual and text data to create applications like image captioning, visual question answering (VQA), and other multi-modal tasks.- Develop algorithms and models that can process, analyze, and understand video data efficiently.- Leverage state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch) to build and optimize computer vision models.- Optimize models for real-time video processing, improving accuracy, speed, and scalability.- Collaborate with other AI engineers, data scientists, and software developers to integrate vision-based models into production systems.- Contribute to the full lifecycle of machine learning projects, from research and development to deployment and monitoring.- Stay updated with the latest advancements in computer vision, video processing, and vision-language models, and apply best practices in AI model development.- Collaborate with data scientists and engineers to develop and deploy ML models.- Write clean, efficient, and reusable code using Python (mandatory) and C/Java (basic to intermediate level).- Work with datasets to preprocess, clean, and transform data for ML pipelines.- Implement basic ML/DL algorithms and help optimize model performance.- Contribute to system-level design and architecture discussions for ML solutions.- Stay up to date with trends in ML, DL, and AI technologies.Qualifications :- At least 4 to 17 years of proven experience as a Machine Learning Engineer or AI Engineer, with a strong focus on vision applications and video processing.- Excellent programming skills in languages such as Python, C++, or similar.- Solid background in computer science, including strong knowledge of algorithms, data structures, and software development principles.- Hands-on experience with computer vision technologies, such as OpenCV, TensorFlow, PyTorch, and deep learning models for image/video recognition, segmentation, tracking, and analysis.- Experience working with vision-language models (e.g., CLIP, Visual BERT, etc.) and multi-modal AI tasks.- Familiarity with real-time video processing challenges and optimizations.- Strong understanding of machine learning frameworks, including model development, training, and evaluation.- Experience with version control tools like Git and collaborative development workflows.- Excellent problem-solving skills, creativity, and a deep passion for AI and machine learning.- Good communication skills and the ability to collaborate with cross-functional teams. (ref:hirist.tech)