Applied ML Engineer

Job DescriptionOne of our pioneering client, A creative technology firm specializing in innovative storytelling through machine learning and AI, is looking for an  Applied ML Engineer based in USA. to join their dynamic team! Requirements~ Prior experience with large-scale distributed systems and Machine Learning platforms.~ Prior experience with AI-based companies, demonstrating knowledge of machine learning.~ Experience in curating and bootstrapping datasets for large-scale image generation/classification problems.~ Expertise in Python, PyTorch, and other ML libraries.~ Ability to read and implement the latest research papers in GenAI and collaborate with internal or external researchers for brainstorming.~ Proficiency in computer vision, machine learning, deep learning, and artificial intelligence.~ Bachelor's Degree in Computer Science, Software Engineering, or equivalent work experience.~ Self-motivated with minimal supervision.~ Excited to join a small team that moves very quickly.~ Total Experience: 3+ years.Responsibilities~ Implement and maintain machine learning pipelines according to the product roadmap.~ Develop and maintain an asynchronous messaging protocol for both backend and frontend, identifying any necessary optimizations.~ Set up a monitoring and alerting system to flag issues, optimizations, and errors.~ Thoroughly examine a video pipeline, identifying its interfaces, expected output quality, and required work.~ Evaluate available Gen-AI models such as Stable Diffusion, GANs, LLMs, etc., to see if they can yield similar results.~ Discover and learn about new models to see if they can enhance the products.~ Deploy the model on our hardware, adjusting it with our unique character art if necessary, and integrate it with the rest of the platform.~ Understand and build data curation pipelines according to each model's unique requirements.~ Collaborate with the engineering and design team to pinpoint and solve new product challenges.~ Develop scalable and cost-optimized API connections to relevant cloud-deployed models.Work Location: RemoteCandidate Location: USAEmployment Type: Full-time