Senior ML Ops Engineer

Title: Senior ML Ops Engineer    

​Location:  Remote
Position Type: Full Time

Compensation
Pay Range:$150,000 Per year

Description
Join our team as a Senior ML Ops Engineer in a remote, full-time position. 
You will transform experimental AI models into secure, scalable services. 
Your role involves automating workflows, managing model registries, and implementing CI/CD for machine learning. 
A strong foundation in cloud platforms and data processing technologies is essential.

Key Responsibilities
Automate and orchestrate machine learning workflows across major cloud and AI platforms.
Maintain and version model registries and artifact stores.
Develop and manage CI/CD processes for ML, including automated data validation and model deployment.
Design and implement ML pipelines utilizing search and graph databases.
Optimize infrastructure costs through monitoring and scaling strategies.

Qualifications
Experience in ML Engineering and MLOps platforms with a track record of deploying ML systems to production.
Proficiency in Python, Java, and/or Scala is a plus.
Hands-on experience with major cloud vendor solutions such as AWS, Azure, or Google Cloud.
Experience with search and graph technologies.
Understanding of the Data Science Life Cycle, including model training and evaluation metrics.

Core Technologies
AWS | Azure | Google Cloud | Python | Java | Scala | Elasticsearch | OpenSearch | Solr | Neo4j | PyTorch | TensorFlow | PySpark | Spark

Contact Information
Jeffrey McLaughlin,

Onboarding Expectations
Learn more about our Onboarding Process here   

EEO Statement
Learn more about our EEO policy here