remote
AI Engineer - abstra
AI Engineer
Design, develop, and deploy AI models and pipelines using Python, TensorFlow/PyTorch, and cloud services. Collaborate with cross‑functional teams to integrate intelligent solutions into products and improve performance at scale.
About the role
Key Responsibilities
- Design and implement machine‑learning models for computer vision, NLP, or recommendation tasks.
- Build end‑to‑end data pipelines, from data ingestion and preprocessing to model training and evaluation.
- Deploy and monitor models in production using cloud platforms such as AWS (SageMaker, EC2, Lambda).
- Collaborate with product, engineering, and data teams to translate business requirements into scalable AI solutions.
- Conduct experiments, perform hyperparameter tuning, and document findings to continuously improve model accuracy and efficiency.
Requirements
- Strong proficiency in Python and experience with deep‑learning frameworks like TensorFlow or PyTorch.
- Solid understanding of machine‑learning algorithms, model evaluation metrics, and data preprocessing techniques.
- Hands‑on experience deploying models on cloud services (AWS, GCP, or Azure) and using containerization tools (Docker, Kubernetes).
- Ability to write clean, maintainable code and work with version control systems (Git).
- Excellent problem‑solving skills and the ability to work independently in a fast‑paced environment.
Skills
pythontensorflowpytorchmachine learningaws