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Senior ML Ops Engineer

Mitchell Martin Inc.

Role overview

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

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

Key facts

Hard skills

Other skills

  • Problem Solving

About the company

Mitchell Martin Inc. logo

Mitchell Martin Inc.

Staffing & Recruiting

Mitchell Martin, Inc. (MMI) is a Talent Acquisition Solutions leader that is powered by innovation and driven by integrity. MMI provides Information Technology staffing, Healthcare staffing and Payroll Solutions nationwide. Founded in 1984, the company initially helped Financial Services companies acquire IT talent in the New York marketplace. Today, MMI has over 1,000 resources deployed across 40 states with annual revenues of $200 million with a diversified client base that includes Insurance, Life Sciences, Technology, Travel, Media and Healthcare. MMI’s solutions include the placement of IT and Healthcare professionals on a temporary and full-time basis as well as payroll services. Our clients span from mid-market companies and some of largest well-known brands in the US. Based on our extensive experience in staffing and payroll management, MMI has advised many of its clients in their implementation of programs to help them identify, hire and retain talent while effectively managing cost, quality and risk. For the talented professionals we work with, MMI always seeks to get the right people into the right jobs, with a high touch customer service orientation that is based on integrity and building long term relationships. Our Core Values: • We SERVICE our customers above ALL else. • We are NEVER satisfied. • We are Enthusiastic, Energetic, Tenacious, and Competitive. • We are AGILE. Our Vision To apply innovative and creative approaches to drive growth while affording our people and consultants the opportunity to advance professionally. We always build positive relationships with the people we work with, while diligently adhering to our core values. MMI is dedicated to providing exceptional customer service to our clients and consultants. Award winning: Top 100 largest IT staffing firms in USA (Staffing Industry Analysts) in 2016

Company details

Company typeSME
IndustryStaffing & Recruiting
Company size501 - 1000

Links

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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   

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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