Principal AI Engineer
Globalization Partners
- India
- Permanent
- Full-time
- Lead the design and implementation of complex AI solutions using cloud computing technologies, with a strong focus on MLOps practices to streamline and automate machine learning lifecycle management.
- Oversee collaborations with data scientists and AI researchers to ensure efficient deployment and scalability of machine learning models and AI applications within cloud environments.
- Architect and manage cloud resources and infrastructure, emphasizing cost efficiency, security, compliance, and MLOps best practices.
- Develop and refine automation scripts and CI/CD pipelines to support MLOps strategies, ensuring seamless and rapid deployment, monitoring, and maintenance of AI systems.
- Monitor the performance of AI applications, ensuring high availability, efficient resource utilization, and proactive scalability and maintenance.
- Evaluate and integrate the latest trends and tools in AI, machine learning, cloud technologies, and MLOps, advocating for and implementing innovative solutions that enhance our capabilities.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, with at least 5 years of relevant experience in cloud engineering and AI deployment.
- Spent at least 5 years as a software engineer
- Deep expertise in AWS, both serverless and otherwise.
- Experience architecting AWS solutions for optimal performance and pricing.
- Experience with Terraform
- Advanced proficiency in programming in Python.
- Extensive experience with Docker other containerization and orchestration technologies.
- Proven track record in designing and implementing effective MLOps architecture to support AI and machine learning model lifecycle management at scale.
- Solid knowledge of networking, security, and database management in cloud environments.
- Leadership skills with the ability to mentor a team, solve complex problems, and deliver results in a dynamic and collaborative environment.
- Advanced certifications in cloud technologies and MLOps-specific certifications
- Experience with Kubernetes Controllers
- Have a good working knowledge of Deep Neural Networks, and other machine learning algorithms with a strong grasp on data pipelining and data drift.