AI Software Engineer - MLOps

About the Role

Our client, a trailblazer in AI & Emerging Technologies , is actively seeking a skilled AI Software Engineer with expertise in MLOps to join our distributed team, working remotely. You will be responsible for building and maintaining the infrastructure and pipelines that enable the seamless development, deployment, monitoring, and management of machine learning models. This role is crucial for bridging the gap between data science research and production-ready AI applications, ensuring scalability, reliability, and efficiency. If you are passionate about automating ML workflows and optimizing the entire AI lifecycle, this is the perfect opportunity.

Key Responsibilities

• Design, build, and maintain scalable and robust MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT).
• Implement and manage infrastructure for machine learning model deployment, scaling, and monitoring using cloud platforms.
• Develop tools and automation for data versioning, model versioning, experiment tracking, and performance monitoring.
• Collaborate with data scientists and ML engineers to streamline the model development and deployment process.
• Ensure the reliability, security, and performance of AI systems in production environments.
• Troubleshoot and resolve issues related to the ML infrastructure and deployment workflows.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering, with a significant focus on MLOps or DevOps for AI/ML.
• Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) and infrastructure-as-code (e.g., Terraform).
• Strong understanding of machine learning concepts and the ML lifecycle.

Benefits

• Competitive salary and benefits package.
• Fully remote work arrangement offering flexibility.
• Comprehensive health, dental, and vision coverage.
• Opportunities for professional growth and development in the AI and MLOps space.
• Work on cutting-edge AI projects with a talented and collaborative team.
• Contribute to building the future of AI deployment and management.