Lead MLOps initiatives at Salla e-commerce platform, building scalable ML training, deployment, and monitoring pipelines. Collaborate with data scientists and engineers to optimize model performance.
Responsibilities
Design, build, and maintain scalable MLOps pipelines that foster collaboration between data scientists and engineering teams.
Implement and manage workflows for model training, validation, deployment, and monitoring.
Utilize cloud-based platforms (AWS, GCP, or Azure) to provision and manage machine learning resources.
Develop tools and frameworks that assist in continuous integration and deployment of machine learning models.
Collaborate with data scientists to understand model requirements and assist in feature engineering and selection.
Monitor model performance in production, identify issues, and provide recommendations for model optimization.
Establish best practices for versioning, testing, and documenting machine learning models.
Stay updated with the latest developments in MLOps tools and methodologies.
Strong communication skills to relay technical concepts to non-technical stakeholders.
Excellent problem-solving skills and a proactive approach to addressing challenges.
Requirements
A minimum of 5 years of experience in software engineering or DevOps with a focus on machine learning operations.
Strong proficiency in programming languages such as Python and familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.).
