Scopic via Zoho Recruit

Remote Machine Learning Engineer

InternacionalRemotoTempo integralNot specified

Visão geral da vaga

This is a remote position. Are you a Machine Learning Engineer with expertise in Python, cloud-based architectures/infrastructures and a passion for designing and developing scalable, fault-tolerant services? Do you thrive on building innovative solutions and working on cutting-edge technologies? If so, we’d love to hear from you! This is a full-time, home-based position, offering you the chance to work with a talented team of professionals from around the globe. Responsibilities: Design, develop, and architect high-performance AI/ML services and pipelines in a cloud-based environment. Contribute to cutting-edge R&D initiatives, including service integration with emerging frameworks and platforms. Assist with the technical resolution of issues on mission-critical production systems, embracing the philosophy: "you build it, you own it, you run it." Think outside the box to devise solutions that scale, are fault-tolerant, easy to grasp, and elegant.

Requisitos

3+ years of hands-on experience with Python.; 4+ years of hands-on experience with machine learning, deep learning, large language models, and/or foundational models.; Hands-on experience with cloud-based architectures/infrastructures (AWS), specifically related to AI/ML pipelines.; Experience in building workflows for automated data preparation, curation, and annotation, including secure, scalable storage and retrieval for model training.; Experience in fine-tuning models, training, validating, testing, and deploying them in production settings.; Experience in vision-based AI, including automated data labeling, object detection, and image segmentation.; Preferred Qualifications:; Experience with any of the following: NVIDIA Enterprise AI Solutions, AWS SageMaker, AWS Bedrock, AWS Clean Rooms, and Data Lakes.; Experience in building and fine-tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, and attention scoring.; Experience with Media and Entertainment industry file formats and applications (IMF, Pro Tools, MXF, 3D, etc.).; Excellent problem-solving skills and attention to detail.; Ability to work independently and as part of a remote, global team.; Strong communication and interpersonal skills for effective collaboration.; The secret ingredients that make us special:; Your growth is our growth. We invest in your future with paid training and other professional opportunities.; We’re industry innovators at the forefront of change. Equipped with the latest technologies and a team of knowledgeable colleagues by your side, you’ll embrace new and interesting challenges.; Your location.

Benefícios

Not specified