Senior MLOps Engineer (Machine Learning)

LOCATION New York
SALARY $160,000 - $200,000

We're looking for talented Senior Machine Learning Engineers (MLOps), who are interested in scaling and deploying Machine Learning Models.

 

Who Are We?

We are a Biopharmaceutical Innovation Lab in Medical Aesthetics with a mission to transform this business and is building a high performing team to do so. Our parent company is one of the largest pharmaceutical companies in the world and we have many well-known beauty products and brands in the market. Our team is responsible for transforming the digital consumer experience across all our brands. We use Machine Learning to engage with our consumers in a personalized and more effective way. Our program services over 6 million users and is being used in 25,000 medical offices/spas in the U.S.

 

What Is The Job?

As the Senior Machine Learning Engineer you will Architect and build ML Pipelines. You will train, deploy, infer and monitor ML Models at scale. You will own MLOps, integrate Machine Learning Solutions as Microservices with Applications in production and setup Model Management Systems.

 

What Skills Do You Need?

  • 3+ years experience in MLOps, building Machine Learning Platform Solutions
  • Python, SQL, Spark, Pandas
  • Scikit-Learn, Keras/TensorFlow
  • AWS Cloud: Lambda & Step functions
  • SQL and NoSQL Databases
  • Docker, CI/CD Pipelines and Git
  • Experience developing APIs to expose Data products
  • Computer Science Degree or related field

Compensation:

  • $160,000 - $200,000+
  • Base + Bonus + Equity
  • Full Benefits + 401k with dollar for dollar match 6% plus an additional 4%
  • RSU Grants
  • + many Perks!!!

 

What’s’s In It For You?

This is a great opportunity for someone to join a publicly traded company with over $8 Million in revenue. This is also a great opportunity to be a part of a growing data driven team of high-level engineers.

 

*We are big proponents of diversity, and encourage diverse applicants / candidates with diverse backgrounds to apply.

APPLY NOW
Stephanie Grosso

Talent Advocate, Data Engineering

(332) 213-0161
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