Machine Learning Engineer

In4ge is a recruitment company focused on connecting talented employees with suitable companies to create synergistic relationships that contribute to growth and success. The role is for a client project involving building, deploying, and scaling AI/ML models in production environments, focusing on MLOps processes, pipeline automation, and ensuring stability and performance in cloud environments.

• Minimum 4 years of experience in ML projects deployed in production.
• Very good knowledge of Python and ML/DL frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with MLOps tools (MLflow, Kubeflow, TFX or similar).
• Practical knowledge of CI/CD tools (Jenkins, GitLab CI, CircleCI).
• Experience with cloud platforms (AWS, GCP, or Azure).
• Knowledge of Docker and Kubernetes.
• Ability to design scalable and resilient solutions.
• Very good communication and collaboration skills in distributed environments.

• Design and maintain end-to-end MLOps pipelines.
• Deploy ML models to production environments.
• Build infrastructure for training, validation, monitoring, and retraining of models.
• Implement CI/CD processes for AI/ML models.
• Containerize and orchestrate environments using Docker and Kubernetes.
• Collaborate with Data Science and Software Engineering teams.
• Optimize performance, scalability, and security of solutions.
• Document standards and technical best practices.