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Ai Ml Operations Manager Jobs (NOW HIRING)

CosQube INC

ML/AI Engineers

Santa Clara, CA · On-site

ML/AI Engineers Location: CA/Santa Clara (mostly remote with occasional meetings in the office ... ML Operations: Vector databases, embedding systems, model deployment, MLOps * Anomaly Detection:

Saransh Inc

AI Ops Engineer

Reston, VA · On-site

$72K - $97K/yr

AI/ML * Operations * Python * Langchain * AWS * Experience in AI Development, MLOps, or a similar role with a focus on AI/ML operations. * Proficiency in Python for scripting, automation, and backend ...

Southern Glazer's Wine & Spirits, LLC.

NY · On-site

Director of Product Operations, Artificial Intelligence and Machine Learning (AI/ML) Locations ... Lead the implementation and ongoing management of ML operations practices and tools to streamline ...

Johnson and Johnson

Senior AI/ML Engineer

Titusville, NJ · On-site

$155K - $175K/yr

... ML Operations). Partner with senior leaders and peers across technology and business functions to ... managing CI/CD pipelines to ensure smooth and efficient software development workflows, with ...

Jj

Senior AI/ML Engineer

Titusville, NJ · On-site +1

$155K - $175K/yr

... ML Operations). Partner with senior leaders and peers across technology and business functions to ... managing CI/CD pipelines to ensure smooth and efficient software development workflows, with ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent ... Collaborate with cross-functional teams to ensure secure, scalable, and compliant ML operations.

The Campbell's Company

$115K - $138K/yr

Operational Support Data Engineer - Agentic AI & ML Ops (Co-op) * We are seeking a motivated and curious Data Engineer - Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op ...

Mars Technominds Inc

Project Manager AI/ML

Dallas, TX · On-site

Project Manager AI/ML Location: Dallas, TX. local only Job Type: 16+ months Contract-to-Hire Work ... Drive continuous improvement in AI/ML delivery processes, methodologies, and operational practices.

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Ai Ml Operations Manager information

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How much do ai ml operations manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai ml operations manager in the United States is $63,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $77,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Ai Ml Operations Manager job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $63,456 per year, or $30.5 per hour.

ML/AI Engineers

Santa Clara, CA • On-site

CosQube INC
See more jobs at CosQube INCexternal

Contractor

Re-posted 7 days ago

Job description

ML/AI Engineers

Location: CA/Santa Clara (mostly remote with occasional meetings in the office) locals only.

Mandate Skills:

Primary Technologies: Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch)

Mandatory: Kubernetes experience and cloud-native development practices

Required Skills & Experience

•             Primary Technologies: Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch)

•             Specialized AI/ML: LangChain, LlamaIndex, RAG architectures, Large Language Models

•             ML Operations: Vector databases, embedding systems, model deployment, MLOps

•             Anomaly Detection: AIOps platforms, time-series analysis, observability systems

•             Previous Experience: HAL projects or similar ML platforms strongly preferred

•             Infrastructure: Kubernetes, ML model deployment and monitoring

•             Experience: 4+ years ML engineering, production ML systems, RAG implementation experience

Additional Requirement

•Mandatory: Kubernetes experience and cloud-native development practices

•Methodology: Agile/Scrum experience, distributed team collaboration

•Technical Depth: Senior-level expertise in primary technologies required

•Domain Experience: Previous experience in data platforms, ML systems, or similar enterprise environments preferred