Title: Senior ML Ops Engineer
Location: Remote
Position Type: Full Time
CompensationPay Range:$150,000 Per year
DescriptionJoin 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 ResponsibilitiesAutomate 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.
QualificationsExperience 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 TechnologiesAWS | Azure | Google Cloud | Python | Java | Scala | Elasticsearch | OpenSearch | Solr | Neo4j | PyTorch | TensorFlow | PySpark | Spark
Contact InformationJeffrey McLaughlin,JMcLaughlin@itmmi.com
Onboarding ExpectationsLearn more about our Onboarding Process here
https://youtu.be/rjV_NFYjyY4 EEO StatementLearn more about our EEO policy here
https://www.mitchellmartin.com/eoe-statement