KATBOTZ LLC Logo

KATBOTZ LLC

AI Engineer / Machine Learning Engineer – MLOps

Reposted 2 Months Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
This role involves designing, deploying, and maintaining machine learning and AI models in production, managing ML pipelines, and ensuring system reliability and performance.
The summary above was generated by AI

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 productionize 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 (GitHub Actions, Jenkins, GitLab CI)
  • MLflow / Kubeflow / Airflow
  • Data pipelines
  • APIs (FastAPI / Flask)
  • Cloud platforms (AWS / Azure / GCP)
  • SQL / NoSQL databases
  • Model monitoring and logging
MLOps Tools (Important)

Candidate should have experience in some of these:

  • MLflow
  • Kubeflow
  • Airflow
  • DVC
  • Weights & Biases
  • SageMaker
  • 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.



Similar Jobs

46 Seconds Ago
Easy Apply
Remote
United States of America
Easy Apply
160K-190K Annually
Senior level
160K-190K Annually
Senior level
Information Technology • Cybersecurity
Senior Software Engineer responsible for designing, developing, testing, and releasing scalable full-stack features for Huntress’s Core Platform. The role owns complex projects end to end across frontend, backend, databases, and infrastructure; promotes code quality through testing, reviews, and pairing; breaks down epics into milestones; contributes technical solutions; and mentors engineers. The position requires extensive Ruby on Rails and full-stack experience, plus familiarity with Linux infrastructure, databases, external APIs, Agile practices, and responsible AI-assisted development.
Top Skills: AWSClickhouseCSSHotwireJavaScriptLinuxPostgresRuby On RailsStimulusTailwind UiTurbo
7 Minutes Ago
Remote or Hybrid
United States
148K-249K Annually
Expert/Leader
148K-249K Annually
Expert/Leader
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Own multi-year identity security adoption roadmaps for strategic enterprise accounts. Architect governance across human, machine, and AI agent identities; advise C-suite and engineering leaders; translate regulations into security architectures; quantify breach-risk reduction, compliance gains, and cost avoidance; support renewals and expansions; synthesize cross-account patterns for product and engineering teams; contribute thought leadership and mentor advisors.
Top Skills: Ai Agent SecurityData Access SecurityEnterprise Security ArchitectureFedrampHarbor PilotIdentity And Access Management (Iam)Identity Governance And Administration (Iga)Machine Identity SecuritySailpoint Agentic FabricSailpoint Identity Security Cloud
8 Minutes Ago
Remote or Hybrid
United States
101K-170K Annually
Senior level
101K-170K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.
Top Skills: Amazon EksAWSCi/CdFedrampGitopsGoGrafanaHelmInfrastructure As CodeIstioKubernetesLinkerdLinuxNetwork PoliciesOpensearchPci DssPod Security StandardsPrometheusPythonRbacService MeshShell ScriptingTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account