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Remote Machine Learning Ops Engineer Jobs in Brooklyn, NY

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

We have a flexible work environment and allow remote work depending on one's personal choice. Responsibilities: As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Good dev ops experience * Advanced DSP experience * MongoDB or SQL experience * Experience with ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer (IC)

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

New

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

New

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

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Remote Machine Learning Ops Engineer information

See Brooklyn, NY salary details

$33.1K

$135.4K

$203.5K

How much do remote machine learning ops engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote machine learning ops engineer in Brooklyn, NY is $135,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $163,000.00 per year, depending on experience, location, and employer.
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Remote Machine Learning Ops Engineer jobs near you

MLOps Engineer

Moody's Analytics

New York, NY • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice.


Responsibilities:

As the Machine Learning Ops Engineer for the AI Team you will:

  • Work closely with the Data Science team and the Data Engineers and DevOps teams in order to deploy machine learning models. Specifically execute continuous integration and continuous delivery (CI/CD) activities to release ML code and ML pipelines into a Production environment
  • Maintain the Machine Learning pipeline and make sure everything is running accurately and reliably
  • Liaise with senior stakeholders across the Data function and the wider business
  • Use industry best practices such as code reviews, pull requests, and peer testing to ensure high quality AI/ML deliverables
  • Build AI/ML model performance benchmarking, evaluation, monitoring capabilities and facilitates resolution of issues with the appropriate teams

SKILLS AND EXPERIENCE


Must Have:

  • Proven industry/commercial/research lab experience (2+ years) deploying machine learning models and maintaining ML pipelines, orchestration, deployment, monitoring, & support
  • Experience creating and maintaining deployment pipelines with CI/CD tools (2+ years)
  • Knowledge of cloud technologies (e.g. AWS) and Extensive Programming experience in Python & SQL
  • Experience in containerization and orchestration (such as Docker, Kubernetes)
  • Practical Knowledge of Machine Learning models in commercial settings
  • Good communication skills

Nice to Have:

  • Experience building batch and/or real-time data & ML pipelines
  • Familiarity with MLflow (or similar platforms like Kubeflow and other tools)
  • Promotes a practice of unifying system development (Dev) and system operations (Ops)

Employment Type: FULL_TIME

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