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This is a remote position.

**AI Engineer / Machine Learning Engineer u2013 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.n n n

Key Responsibilitiesn

- Build and maintain ML pipelines for training, testing, and deploymentn
- Deploy machine learning and AI models into production environmentsn
- Manage model lifecycle (training, deployment, monitoring, retraining)n
- Automate workflows using CI/CD for ML modelsn
- Monitor model performance, drift, and data qualityn
- Work with data scientists and AI developers to productionize modelsn
- Manage model versioning, data versioning, and experiment trackingn
- Deploy models on cloud platforms (AWS, Azure, GCP)n
- Containerize applications using Docker and Kubernetesn
- Implement monitoring and logging for ML systemsn
- Ensure scalability, security, and reliability of AI systemsn

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Requirements Required Skillsn

- Pythonn

- Machine Learningn

- MLOps tools and frameworksn

- Dockern

- Kubernetesn
- CI/CD (GitHub Actions, Jenkins, GitLab CI)n
- MLflow / Kubeflow / Airflown

- Data pipelinesn

- APIs (FastAPI / Flask)n




- Cloud platforms (AWS / Azure / GCP)n

- SQL / NoSQL databasesn
- Model monitoring and loggingn

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MLOps Tools (Important)n

Candidate should have experience in some of these:n
- MLflown

- Kubeflown

- Airflown

- DVCn
- Weights & Biasesn

- SageMakern

- Azure MLn

- Vertex AIn

- Dockern

- Kubernetesn

- Terraformn

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Experience Requiredn

- 3u20137 years in Machine Learning / AI / Data Engineeringn
- 2+ years in MLOps / Model Deployment / ML Pipelinesn
- Experience deploying models to production is mandatoryn

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Benefits

- Competitive compensation packagen
- Opportunities for professional development and career advancement.n
- Flexible working conditions, with remote options available.n
- Dynamic and supportive work environment.n

nn **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 chance for all employees and applicants.n n n n n****

📌 AI Engineer / Machine Learning Engineer – MLOps (India)
🏢 KATBOTZ®
📍 India