AI Engineer – MLOps

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🕒 April 7

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KATBOTZ®

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2021

🤖 Artificial Intelligence

📚 Education

Consulting • Artificial Intelligence • Education

KATBOTZ® is a business consulting company that specializes in driving customer success through business transformation across various sectors, including life sciences, high technology, and consumer goods. They offer a comprehensive range of services, including consulting, technology solutions, educational initiatives, and talent optimization through recruiting and coaching. KATBOTZ® leverages advanced technologies such as AI and machine learning to maximize efficiency and facilitate sustainable business growth for enterprise and mid-market clients.

📋 Description

• 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

• 3–7 years in Machine Learning / AI / Data Engineering • 2+ years in MLOps / Model Deployment / ML Pipelines • Experience deploying models to production is mandatory • 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

🏖️ Benefits

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