Python / Machine Learning / Kubernetes

Key Responsibilities:

• Develop and maintain machine learning models and pipelines using Python.
• Collaborate with data scientists to implement algorithms and optimize model performance.
• Containerize ML applications using Docker and orchestrate deployments with Kubernetes.
• Monitor, scale, and troubleshoot machine learning services in production environments.
• Write clean, reusable, and well-documented code following best practices.
• Automate workflows and CI/CD pipelines for ML models and applications.
• Participate in code reviews and ensure adherence to security and quality standards.

Key Skills Required:

• Strong proficiency in Python programming
• Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Familiarity with Kubernetes for container orchestration and deployment
• Experience with Docker and containerization best practices
• Knowledge of data preprocessing, feature engineering, and model evaluation
• Experience with cloud platforms (AWS, GCP, Azure) is a plus
• Understanding of CI/CD pipelines and DevOps practices
• Good problem-solving, communication, and collaboration skills