About this role
Full Time Mid-level AI Engineer / Machine Learning Engineer – MLOps in education at KATBOTZ in Remote. Apply directly through the link below.
At a glance
- Work mode
- Hybrid
- Employment
- Full Time
- Location
- Remote
- Experience
- Mid-level · 7+ years
Core stack
- Machine Learning
- Data Engineering
- GitHub Actions
- Performance
- Scalability
- Kubernetes
- Terraform
- GitLab CI
- Security
- FastAPI
- Jenkins
- Airflow
- Logging
- Python
- Docker
- Design
- Remote
- Flask
- Azure
- CI/CD
- SQL
- AWS
- GCP
- ML
Quick answers
Is this AI Engineer / Machine Learning Engineer – MLOps job remote?
Yes, this position is fully remote (Remote).
What skills are required?
Machine Learning, Data Engineering, GitHub Actions, Performance, Scalability, Kubernetes, Terraform, GitLab CI, Security, FastAPI, and more.
KATBOTZ is hiring for this role. Visit career page
Remote
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.