Senior Machine Learning Engineer
1 month ago
About the client :
Founded in 2021, leverages GenAI to enable businesses to effortlessly create and launch ads in seconds. With Zocket, businesses can manage ads across channels like Facebook, Instagram, Google, and WhatsApp in a single platform.
Role : Sr. ML Engineer
Job Responsibilities :
- Design, develop, and implement cutting-edge machine learning models and algorithms for Generative AI and Computer Vision applications, focusing on areas such as image generation, visual transformers, and segmentation.
- Conduct in-depth research and experimentation to explore novel techniques in deep learning and generative models (e.g., ViT, HQSam, SD, ControlNet) to generate realistic and diverse visual content.
- Utilize computer vision techniques, including object detection, segmentation, and tracking to develop robust and accurate models for various applications.
- Work closely with data scientists, software engineers, and domain experts to gather requirements, understand business needs, and design solutions that leverage generative AI and computer vision effectively.
- Preprocess and analyze large-scale datasets, ensuring data quality, applying data augmentation techniques, and implementing appropriate feature engineering strategies.
- Optimize and fine-tune machine learning models to improve performance, efficiency, and scalability, utilizing techniques such as model compression, pruning, and quantization.
- Evaluate and benchmark different machine learning frameworks, libraries, and tools to identify the most suitable options for specific generative AI and computer vision projects.
- Stay up-to-date with the latest advancements in machine learning, generative AI, and computer vision, actively participating in conferences, workshops, and research forums.
- Collaborate with the team to publish research findings, methodologies, and technical papers, contributing to the machine learning community and enhancing our company's reputation.
- Document research experiments, methodologies, and technical specifications, ensuring knowledge transfer and reproducibility of results.
- Participate in code reviews, provide constructive feedback, and promote best practices in software development and machine learning engineering.
Skills required :
- Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics, or a related field, with a strong focus on machine learning, computer vision, or artificial intelligence.
- Extensive experience in developing and deploying machine learning models for Generative AI and Computer Vision applications.
- Proficiency in Python programming language and solid familiarity with frameworks and libraries such as TensorFlow, PyTorch, Keras, and OpenCV.
- Deep understanding of deep learning architectures and generative models, including SD, ViT, SAM, ControlNet and their variants.
- Strong knowledge of computer vision techniques, including object detection, segmentation, tracking, and image synthesis.
- Proven experience in large-scale data processing, preprocessing, and feature engineering, with an emphasis on handling diverse and unstructured visual data.
- Strong analytical and problem-solving skills, with the ability to explore and experiment with innovative solutions for complex generative AI and computer vision challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Solid understanding of software engineering best practices, version control systems (e.g., Git), and agile development methodologies.
- Demonstrated research experience, publications, or contributions to the machine learning community are highly desirable.
Join our dynamic and forward-thinking team, where you will have the opportunity to apply your advanced technical skills in Generative AI and Computer Vision to revolutionize our industry. If you are passionate about pushing the boundaries of artificial intelligence and creating impactful solutions, we would love to hear from you.
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