Machine Learning Engineer

What You Will Be Working On

• Design, build, and maintain scalable ML infrastructure using tools like Kubeflow, MLflow, and RunAI.
• Automate the setup and management of ML environments and pipelines to ensure consistency and reliability.
• Ensure automated testing and validation of AI/ML models before deployment.
• Monitor model performance and health, using tools for logging, monitoring, and alerting.
• Implement strategies for model retraining and updating based on performance metrics.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable ML solutions.
• Participate actively in agile ceremonies such as sprint planning, daily stand-ups, retrospectives, and backlog grooming.

What We Are Looking For

• Skilled in Linux and Python, with knowledge of JavaScript or other scripting languages.
• Experience with containerized applications (Docker, Kubernetes) and ML infrastructure tools such as Kubeflow, MLflow, and RunAI.
• Familiarity with end-to-end ML lifecycle management, including model development, training, validation, and deployment.
• Strong problem-solving skills and ability to troubleshoot complex issues.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment.
• Continuous learning mindset to keep up with technological advancements.
• Preferably minimum 2 years of relevant working experience.