remote
Technical Lead, Generative AI Cloud Technologies - Mars
AI Engineer
Lead the design, integration, and delivery of enterprise‑grade generative AI solutions on cloud platforms, guiding architecture, development, and cross‑functional collaboration using Python, TensorFlow/PyTorch, and AWS/Kubernetes.
About the role
Key Responsibilities
- Define and own the technical vision for generative AI cloud solutions, ensuring scalability, security, and performance across the enterprise.
- Architect, develop, and integrate AI models (e.g., large language models, diffusion models) using Python, TensorFlow, and PyTorch within cloud‑native environments.
- Lead a multidisciplinary team of data scientists, engineers, and architects, providing mentorship and establishing best practices for MLOps and CI/CD pipelines.
- Collaborate with business and digital leaders to translate strategic objectives into actionable AI initiatives and roadmaps.
- Evaluate, select, and optimize cloud services (AWS, Kubernetes, serverless) to support model training, inference, and monitoring at scale.
- Drive continuous improvement by staying current with emerging generative AI research and integrating relevant innovations into production.
Requirements
- 5+ years of hands‑on experience building and deploying AI/ML solutions in cloud environments.
- Strong expertise in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Proven experience designing cloud architectures on AWS and orchestrating workloads with Kubernetes.
- Solid understanding of MLOps practices, CI/CD pipelines, and model governance.
- Excellent communication and leadership skills, with a track record of guiding cross‑functional teams.
Skills
pythontensorflowpytorchawskubernetes