onsite
Senior AI Developer - Steampunk
Software Engineer
Lead the design, development, and deployment of cutting‑edge AI solutions, from data ingestion to production‑ready models, leveraging Python, PyTorch, and LLMOps on cloud and container platforms.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines, including data ingestion, feature engineering, and model training.
- Develop and fine‑tune large language models and generative AI systems using PyTorch and related frameworks.
- Collaborate with product, design, and operations teams to translate business requirements into scalable AI features.
- Deploy models to production environments on AWS, orchestrated with Docker and Kubernetes, ensuring high availability and performance.
- Implement MLOps practices: CI/CD, monitoring, logging, and automated retraining workflows.
- Mentor junior engineers and conduct code reviews to maintain quality and best practices.
Requirements
- 5+ years of experience in AI/ML engineering with a strong portfolio of production deployments.
- Proficiency in Python, PyTorch/TensorFlow, and experience with large language model fine‑tuning.
- Hands‑on expertise in Docker, Kubernetes, and AWS services (SageMaker, ECS, EKS).
- Solid understanding of MLOps principles, CI/CD pipelines, and model monitoring.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonpytorchdockerkubernetesawsmlops