onsite
AI Systems Engineer - Suffolk Construction
Systems Engineer
Lead the design and deployment of AI-driven solutions that integrate data, machine learning, and cloud services to optimize construction workflows and deliver predictive insights across the project lifecycle.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines using Python, TensorFlow/PyTorch, and AWS services (SageMaker, Lambda, S3).
- Collaborate with data scientists and software engineers to transform raw construction data into actionable models for scheduling, cost estimation, and risk prediction.
- Design scalable data ingestion and processing workflows on AWS Glue, Redshift, and Lake Formation.
- Integrate AI models into the Seamless Platform, ensuring low latency inference and robust monitoring.
- Maintain model governance, versioning, and compliance with industry standards.
Requirements
- 5+ years of experience building production AI systems in a cloud environment.
- Proficiency in Python, SQL, and AWS services (SageMaker, Lambda, Glue).
- Strong background in machine learning algorithms, model deployment, and performance tuning.
- Experience with data engineering, ETL pipelines, and data lake architectures.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningaws