onsite
Applied AI Engineer - Intuitive Research and Technology Corporation
AI Engineer
Lead end‑to‑end AI solution development, building scalable models on AWS, leveraging Python and deep learning techniques to deliver actionable insights for complex engineering challenges.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models using Python and deep learning frameworks (TensorFlow, PyTorch) on AWS infrastructure.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven AI solutions.
- Implement end‑to‑end data pipelines, from ingestion and preprocessing to model training, evaluation, and monitoring.
- Optimize model performance and scalability, ensuring robust deployment in production environments.
- Document methodologies, maintain code quality, and share best practices across the engineering community.
Requirements
- Strong programming skills in Python and experience with ML libraries.
- Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda).
- Proficiency in deep learning architectures and model deployment.
- Solid understanding of data engineering principles and pipeline orchestration.
- Excellent problem‑solving skills and ability to communicate complex concepts clearly.
Skills
pythonmachine learningawsdeep learning