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Forward Deployed Engineer - AI - Kyndryl
Software Engineer
Lead complex AI deployments, architect end‑to‑end solutions, and collaborate directly with customers to deliver high‑impact, cloud‑native AI services using Python, ML frameworks, AWS, Kubernetes, and DevOps practices.
About the role
Key Responsibilities
- Design, build, and deploy scalable AI solutions on AWS, ensuring high availability and performance.
- Collaborate with customers to understand business needs, translate them into technical requirements, and deliver tailored AI models.
- Implement CI/CD pipelines, containerization with Kubernetes, and automated testing to accelerate delivery cycles.
- Mentor and coach cross‑functional teams on best practices in ML engineering, data pipelines, and cloud architecture.
- Monitor, troubleshoot, and optimize deployed models, ensuring reliability and compliance with security standards.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong background in Python and ML frameworks (TensorFlow, PyTorch).
- Proven expertise in AWS services (SageMaker, EC2, Lambda, S3) and container orchestration with Kubernetes.
- Hands‑on experience with CI/CD, Git, and automated testing frameworks.
- Excellent communication skills and a customer‑centric mindset.
- Strong problem‑solving abilities and a passion for continuous learning.
Skills
pythonmachine learningawskubernetes