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 Authorization: By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy Onboarding Expectations Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4 EEO Statement Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement Experience: 2 years required