Machine Learning (ML) Engineer
Equip
This job is no longer accepting applications
See open jobs at Equip.See open jobs similar to "Machine Learning (ML) Engineer" Ellis H-1B.Responsibilities
- Design and build end-to-end ML and AI pipelines, including training, fine-tuning, experimentation, and deployment, for a variety of use cases.
- Develop tools and processes that leverage ML/AI to enhance the user experience, glean insights from large datasets, and increase operational efficiency.
- Monitor, evaluate, and optimize models for better performance and outcomes.
- Collaborate with cross-functional team members to scope and define project requirements, develop solutions, and deliver scalable and effective ML/AI models.
- Research state-of-the-art advancements in ML/AI to guide our continuous improvement in the data space.
- Perform other duties as assigned.
Qualifications
- A bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, Operations Research, Engineering, or other quantitative field.
- 2+ years of demonstrated experience developing, training, evaluating, testing, deploying, monitoring, and iterating on production-level models and ML/AI pipelines at scale.
- Solid understanding of software engineering principles and best practices.
- Solid knowledge of mathematics and statistics.
- Experience with large language models applied to unstructured text-based.
- Strong programming skills in Python, Python-based ML frameworks, and SQL.
- Ability to write clear, maintainable, extensible, and testable code.
- Experience with Git / GitHub.
- Demonstrated ability to communicate and collaborate with diverse, cross-functional teams.
- Organized and results-driven.
- Comfortable in a fast-paced environment that is subject to rapid change and innovation.
Physical Demands
- Work is performed 100% from home with no requirement to travel. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed.
- At Equip, diversity, equity, inclusion and belonging are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity.
- As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law.
This job is no longer accepting applications
See open jobs at Equip.See open jobs similar to "Machine Learning (ML) Engineer" Ellis H-1B.