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AI Engineer​/Machine Learning Engineer – MLOps

Remote / Online - Candidates ideally in
New York, New York City, Richmond County, New York, USA
Listing for: KATBOTZ
Full Time, Remote/Work from Home position
Listed on 2026-10-26
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer / Machine Learning Engineer – MLOps
Location: New York

This is a remote position. AI Engineer / Machine Learning Engineer – MLOps We are looking for an AI Engineer with strong experience in Machine Learning Operations (MLOps) to design, deploy, monitor, and maintain machine learning and AI models in production environments. The candidate will be responsible for building scalable ML pipelines, automating model deployment, managing model lifecycle, and ensuring reliability, performance, and governance of AI systems.

Key Responsibilities
  • Build and maintain ML pipelines for training, testing, and deployment
  • Deploy machine learning and AI models into production environments
  • Manage model lifecycle (training, deployment, monitoring, retraining)
  • Automate workflows using CI/CD for ML models
  • Monitor model performance, drift, and data quality
  • Work with data scientists and AI developers to product ionize models
  • Manage model versioning, data versioning, and experiment tracking
  • Deploy models on cloud platforms (AWS, Azure, GCP)
  • Containerize applications using Docker and Kubernetes
  • Implement monitoring and logging for ML systems
  • Ensure scalability, security, and reliability of AI systems
Requirements Required Skills
  • Python
  • Machine Learning
  • MLOps tools and frameworks
  • Docker
  • Kubernetes
  • CI/CD (Git Hub Actions, Jenkins, Git Lab CI)
  • MLflow / Kubeflow / Airflow
  • Data pipelines
  • APIs (FastAPI / Flask)
  • Cloud platforms (AWS / Azure / GCP)
  • SQL / No

    SQL databases
  • Model monitoring and logging
MLOps Tools (Important)

Candidate should have experience in some of these:

  • MLflow
  • Kubeflow
  • Airflow
  • DVC
  • Weights & Biases
  • Sage Maker
  • Azure ML
  • Vertex AI
  • Docker
  • Kubernetes
  • Terraform
Experience Required
  • 3–7 years in Machine Learning / AI / Data Engineering
  • 2+ years in MLOps / Model Deployment / ML Pipelines
  • Experience deploying models to production is mandatory
Education Benefits
  • Competitive compensation package
  • Opportunities for professional development and career advancement.
  • Flexible working conditions, with remote options available.
  • Dynamic and supportive work environment.
Equal Employment Opportunity

KATBOTZ LLC is an Equal Opportunity Employer.

We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status.

As an organization, we are unwavering in our commitment to maintaining a discrimination‑free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.

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