onsite
AI Engineer - AOE
AI Engineer
Develop and deploy advanced machine learning models using Python, TensorFlow, and PyTorch on AWS infrastructure, ensuring scalable, high‑performance AI solutions for real‑world applications.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning models for diverse business problems.
- Build end‑to‑end ML pipelines, from data ingestion to model deployment on AWS services.
- Collaborate with data scientists and software engineers to integrate AI solutions into production systems.
- Monitor model performance, conduct A/B testing, and iterate for continuous improvement.
- Document model architecture, training procedures, and deployment workflows.
Requirements
- Proficiency in Python and experience with TensorFlow or PyTorch.
- Strong understanding of ML concepts: supervised/unsupervised learning, feature engineering, and model evaluation.
- Hands‑on experience deploying models on AWS (SageMaker, ECS, Lambda).
- Familiarity with Docker, CI/CD pipelines, and version control (Git).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningtensorflowpytorchawsdockersql