AI-ML Tech Lead

You will lead the architecture and deployment of scalable AI platforms and deep learning solutions.

Responsibilities

• Architect scalable AI platforms and design end-to-end machine learning and deep learning solutions.
• Collaborate with stakeholders, data scientists, and engineering teams to gather requirements and drive joint architecture design.
• Lead AI/ML infrastructure setup, including cloud service selection, data pipelines, and model deployment.
• Define and implement architecture best practices, frameworks, standards, and data governance measures.
• Optimize AI/ML workflows for performance, cost efficiency, resource utilization, and production reliability.
• Provide technical leadership and mentorship to development teams while communicating architecture decisions to executives.

Required Skills

• 5+ years of experience in AI/ML platform architecture.
• Deep understanding of ML algorithms and Deep Learning architecture.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-Learn.
• Expertise in cloud platforms including GCP and Azure.
• Experience with containerization and orchestration using Docker, Kubernetes, AKS, GKE, or OpenShift.
• Strong knowledge of the model development life cycle, software engineering, and data engineering principles.
• Ability to design and optimize distributed computing systems for AI/ML workloads.
• Familiarity with DevOps practices, CI/CD pipelines, and automation in AI/ML contexts.
• Any Graduate degree.

Preferred Skills

• Superior technical skills spanning from coding to design and presentation.
• Ability to perform on-the-feet thinking to solve complex technical challenges.