Design, develop, and architect high-performance AI/ML services and pipelines in a cloud-based environment.
Contribute to cutting-edge RD 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.
Requirements:
3+ years of hands-on experience with Python.
4+ years of hands-on experience with cloud-based architectures/infrastructures (AWS), specifically related to AI/ML pipelines.
4+ years of hands-on experience with machine learning, deep learning, large language models, and/or foundational models.
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.
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 collaboratio