Senior Software Engineer

Responsibilities:

• Design and implement robust MLOps pipelines for model training, evaluation, deployment, and monitoring using industry-standard tools and frameworks
• Collaborate with data scientists to streamline the model development process and ensure seamless integration with MLOps pipelines.
• Optimize and scale machine learning infrastructure to support high-performance model training and inference.
• Contribute to the development of MLOps standards, processes, and documentation within the organization.
• Mentor and support junior team members in MLOps practices and technologies.
• Stay up-to-date with the latest trends and best practices in MLOps, and explore opportunities for continuous improvement.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
• 5+ years of experience in software engineering, with 2+ years experience in ML
• Proficient in Python and at least one other programming language (e.g., Java, Go, C++).
• Extensive experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
• Familiarity with machine learning frameworks and MLOps tools
• Experience with big data technologies
• Strong understanding of CI/CD principles and practices.