Senior ML Ops Engineer

Location

NEW YORK | New York

FlexibiliTY

Remote

Position type

IT Direct Placement

Job Description

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   

2026-08-18 15:42:00.0
28978548

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Hiring Timeline

Here’s what happens after you apply for a job with Mitchell Martin.  You can also watch this short video about our process. 

1. After you apply, our AI screening tool, Parker Miller, may contact you by phone, text, or email with follow-up questions.  You can opt out and still be considered.

2. For certain technical roles, you may be asked to complete an IT skills assessment, which we’ll take into account along with your responses.

3. If there’s a strong fit, one of our recruiters will reach out to schedule an interview.

Ready to take the next step as

Senior ML Ops Engineer?