Senior AI/MLOPS Engineer

Role overview

Responsibilities

• check_circle Design, develop, and deploy machine learning models.
• check_circle Collaborate with cross-functional teams to integrate solutions.
• check_circle Monitor and maintain the performance of ML models.
• check_circle Implement best practices for MLOps and CI/CD pipelines.

Basic qualifications

• 10 years of experience in AI and MLOps.
• Strong Python programming skills.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of SQL and data processing.
• Familiarity with cloud services (AWS, Azure, or GCP).
• Exposure to MLOps tools such as MLflow, Kubeflow, Docker, Kubernetes, Git, or Jenkins.
• Strong analytical and problem-solving skills.