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Machine Learning Operations Jobs in Monroe, NY (NOW HIRING)

Chefman

MLOps Engineer / DevOps Engineer

Mahwah, NJ

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... From machine learning and computer vision to Generative AI applications, our success depends on ...

Chefman

MLOps Engineer / DevOps Engineer

Mahwah, NJ · On-site

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... From machine learning and computer vision to Generative AI applications, our success depends on ...

BMW Group

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181K - $201K/yr

... machine learning methods, and recommend improvements; work with large data sets from inside and ... ensure operational stability and security of AI/ML applications; mentor and guide junior data ...

Walmart

(USA) Staff, Data Scientist

Paterson, NJ · On-site

$132K - $264K/yr

This position supports Walmart's commitment to innovation and operational excellence through data science. About the team: The Sandman/Ad-tech team comprises skilled Machine Learning Engineers, Data ...

Walmart

(USA) Principal, Data Scientist

Paterson, NJ · On-site

$132K - $264K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

Walmart

(USA) Senior, Data Scientist

Paterson, NJ · On-site

$108K - $216K/yr

Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

Cloudera

Senior Solutions Engineer - SLED

Florida, NY · On-site +1

$171K - $205K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance within the enterprise * One or more of the three major cloud service providers (AWS, Azure or GCP)

Crateandbarrel

Operations Associate

Paramus, NJ

As a C&B Operations Associate, you will play a vital role in maintaining an efficient stockroom and ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

BMW Group

Feature Team Lead

Woodcliff Lake, NJ · On-site

$195K - $201K/yr

Execute operations topics and the Agile scrum master role by managing the delivery of assigned ... Building and deploying Artificial Intelligence (AI) and Machine Learning (ML) models using cloud AI ...

Accenture

AWS Technical Architect

Carmel, NY · On-site

$65.25 - $85.50/hr

... AI), machine learning (ML), and advanced data analytics to design, build, and deploy custom cloud ... need to modernize operations, accelerate growth, and respond to evolving industry demands.

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All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Monroe, NY

Machine Learning Operations information

See Monroe, NY salary details

$22

$40

$62

How much do machine learning operations jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for machine learning operations in Monroe, NY is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $43.17 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks among well-paying tech jobs.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

What cities near Monroe, NY are hiring for Machine Learning Operations jobs?

Cities near Monroe, NY with the most Machine Learning Operations job openings:

Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Monroe, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $84,661 per year, or $40.7 per hour.

Sr. Lead Machine Learning Engineer/Remote

Paterson, NJ • Remote

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $150/hr

Contractor

Re-posted 16 days ago

Job description

Sr. Lead Machine Learning EngineerLocation-RemoteJob Summary

The Sr. Lead Machine Learning Engineer is responsible for leading the design, development, deployment, and optimization of machine learning solutions that drive business value. This role combines technical expertise, strategic leadership, and cross-functional collaboration to build scalable AI/ML systems, mentor engineering teams, and guide the organization's machine learning initiatives.

Key Responsibilities
  • Lead the development and deployment of machine learning models and AI-driven solutions.
  • Design scalable ML architectures, pipelines, and production-ready systems.
  • Collaborate with data scientists, software engineers, product managers, and business stakeholders to define and deliver ML solutions.
  • Oversee data preparation, feature engineering, model training, evaluation, and monitoring processes.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Establish best practices for MLOps, model governance, testing, and deployment.
  • Conduct code reviews and provide technical leadership and mentorship to engineering teams.
  • Evaluate emerging AI/ML technologies and recommend innovative solutions.
  • Ensure compliance with security, privacy, and responsible AI standards.
  • Support production systems by troubleshooting and resolving complex ML-related issues.
  • Drive technical roadmaps and contribute to strategic AI initiatives.
Required Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of software engineering experience, including 5+ years in machine learning engineering.
  • Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building and deploying machine learning models in production environments.
  • Strong knowledge of data structures, algorithms, statistics, and machine learning techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of MLOps tools, CI/CD pipelines, and model monitoring practices.
  • Excellent leadership, communication, and problem-solving skills.
Preferred Qualifications
  • Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Experience with large-scale distributed systems and big data technologies.
  • Knowledge of Generative AI, Large Language Models (LLMs), NLP, computer vision, or recommendation systems.
  • Experience with Kubernetes, Docker, and cloud-native architectures.
  • Prior experience leading technical teams and enterprise AI initiatives.