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.