What are the responsibilities and job description for the Remote Machine Learning Engineer position at Jobs via Lensa?
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Job Description
We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations team within an AI Center of Excellence at a Veterinary Services company. In this role, you will develop and deploy machine learning solutions. You will optimize models for deployment on cloud infrastructure and embedded hardware, implement scalable and efficient training procedures and integrate models into production systems. The Machine Learning Operations team supports all projects in the Center of Excellence, and you will contribute to high impact problems. If you are passionate about machine learning and invigorated by our mission to enhance the health and well-being of pets, people and livestock, this is the role for you!
Compensation: $50-$63.33/HR Exact compensation may vary based on several factors, including skills, experience, and education.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Skills And Requirements
Job Description
We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations team within an AI Center of Excellence at a Veterinary Services company. In this role, you will develop and deploy machine learning solutions. You will optimize models for deployment on cloud infrastructure and embedded hardware, implement scalable and efficient training procedures and integrate models into production systems. The Machine Learning Operations team supports all projects in the Center of Excellence, and you will contribute to high impact problems. If you are passionate about machine learning and invigorated by our mission to enhance the health and well-being of pets, people and livestock, this is the role for you!
Compensation: $50-$63.33/HR Exact compensation may vary based on several factors, including skills, experience, and education.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Skills And Requirements
- 2-3 years of Machine Learning experience
- Experience coding pipelines and creating deployment packages
- Strong programming skills with Python and Spark
- Software Engineering background, specifically with Python backend development.
- Strong problem-solving and analytical skills with exceptional communication null
Salary : $50 - $63