onsite
AI Architect - rSTAR Technologies LLC.
Software Engineer
Lead the design and deployment of AI solutions, leveraging Python, TensorFlow, and AWS to build scalable, production‑ready models. Drive architecture decisions, containerization, and cloud integration for high‑impact projects.
About the role
Key Responsibilities
- Architect end‑to‑end AI systems, from data ingestion to model deployment, ensuring scalability and reliability.
- Collaborate with data scientists and engineers to translate research prototypes into production‑grade solutions.
- Design and maintain containerized pipelines using Docker and Kubernetes on AWS.
- Implement best practices for model monitoring, versioning, and continuous integration/continuous deployment (CI/CD).
- Provide technical leadership, mentor team members, and drive architectural reviews.
Requirements
- 5+ years of experience in AI/ML engineering with a strong focus on production deployment.
- Proficiency in Python, TensorFlow/PyTorch, and deep learning frameworks.
- Hands‑on experience with AWS services (SageMaker, ECS, EKS, Lambda) and container orchestration.
- Solid understanding of software engineering principles, CI/CD, and DevOps practices.
- Excellent communication skills and ability to translate complex concepts to cross‑functional teams.
Skills
pythonmachine learningdeep learningawsdockerkubernetestensorflow