As a seasoned expert in your field, with 5+ years of experience, you will
collaborate closely with cross-functional teams, identify and prioritize ML investments, and implement and integrate models into various deployment environments.
You will design, implement, test, deploy, and maintain ML systems that work securely, reliably, and efficiently at scale.
You will champion best practices, processes, and whatever it takes to deliver timely, high-quality solutions for clients.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
5 years of experience in ML development, with a proven track record in scaling production systems
Deep understanding of natural language processing (NLP) and large language models (LLMs)
Extensive expertise in Python and machine learning libraries and frameworks
Experience with acquiring and validating human-labeled data effectively
Experience with building machine learning pipelines for labeling, sampling, training, evaluation, serving, and monitoring
Excellent problem-solving skills and the ability to work independently
Strong communication (especially writing) and team collaboration skills
Preferred Qualifications
Familiarity with computer vision, multimodal foundation models, and optical character recognition (OCR)
Proficiency in big data technologies and backend systems
Experience with cloud services, infrastructure as code, containerization, and workload orchestration
Extensive experience in operations and management of production environments
What We Offer
Competitive salary and performance-based bonuses
Career development and opportunities for learning new technologies
Flexible work schedule and remote work options
Working on exciting and ambitious generative AI projects
