onsite
AI Engineer - Armilla Ai
AI Engineer
AI Engineer building scalable ML solutions with Python, TensorFlow, and AWS, driving end‑to‑end model development, deployment, and optimization.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models using Python and TensorFlow for real‑time inference.
- Collaborate with data scientists to transform research prototypes into production‑ready services on AWS.
- Implement CI/CD pipelines for model training, testing, and deployment using AWS SageMaker and Docker.
- Monitor model performance, troubleshoot drift, and iterate on feature engineering and hyper‑parameter tuning.
- Document model architecture, data pipelines, and best practices for reproducibility.
Requirements
- 3+ years of experience in applied machine learning and deep learning.
- Strong understanding of data pipelines, version control, and CI/CD for ML workflows.
- Excellent problem‑solving skills and ability to communicate complex concepts to cross‑functional teams.
Skills
pythonmachine learningtensorflowaws