Machine Learning Engineer

3 weeks ago

india Risah Careers Full time

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, style transfer, and image synthesis.

- Conduct in-depth research and experimentation to explore novel techniques in deep learning and generative models (e.g., GANs, VAEs) 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.

Requirements :

- 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 GANs, VAEs, 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.

(ref:hirist.tech)

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