onsite
AI Engineer - Enkompas
AI Engineer
Design, develop, and deploy advanced AI and machine learning models, leveraging Python, TensorFlow/PyTorch, and cloud services to solve complex problems and integrate intelligent solutions into production systems.
About the role
Key Responsibilities
- Design and implement machine learning and deep learning models for a variety of business use cases.
- Develop end‑to‑end pipelines, from data preprocessing to model training, evaluation, and deployment.
- Collaborate with data engineers and product teams to integrate AI solutions into scalable cloud environments (AWS).
- Optimize model performance and resource utilization using containerization tools such as Docker.
- Monitor deployed models, conduct root‑cause analysis, and iterate to improve accuracy and reliability.
Requirements
- Strong proficiency in Python and experience with TensorFlow or PyTorch.
- Solid understanding of machine learning algorithms, deep learning architectures, and model evaluation techniques.
- Hands‑on experience deploying models on AWS services (e.g., SageMaker, EC2, Lambda).
- Familiarity with containerization (Docker) and version control (Git).
- US citizenship or Green Card holder; ability to work onsite in Pittsburgh.
Skills
pythontensorflowpytorchmachine learningdeep learningawsdocker