onsite
AI Engineer III - Visual Comfort & Co
AI Engineer
Senior AI Engineer responsible for designing, building, and deploying machine‑learning models in collaboration with data engineering, BI, and business teams, leveraging Python, cloud services, and deep‑learning frameworks to deliver AI‑driven business solutions.
About the role
Key Responsibilities
- Partner with data engineering and business intelligence teams to define AI use cases and translate business requirements into scalable model pipelines.
- Design, develop, and train machine‑learning and deep‑learning models using Python, TensorFlow, and PyTorch.
- Implement end‑to‑end MLOps workflows on AWS, including data ingestion, model versioning, automated testing, and continuous deployment.
- Optimize model performance through feature engineering, hyper‑parameter tuning, and rigorous validation.
- Monitor production models, troubleshoot issues, and iterate improvements based on real‑world feedback.
Requirements
- 5+ years of professional experience in machine learning, deep learning, or AI engineering.
- Strong proficiency in Python and SQL, with hands‑on experience in TensorFlow or PyTorch.
- Demonstrated ability to build and deploy models on AWS (SageMaker, EC2, Lambda, etc.) and implement MLOps best practices.
- Solid understanding of data pipelines, feature stores, and model monitoring concepts.
- Excellent communication skills to collaborate with cross‑functional stakeholders and translate technical concepts into business value.
Skills
pythonmachine learningdeep learningtensorflowpytorchsqlaws