onsite
AI/ML Engineer - Vantor
ML Engineer
AI/ML Engineer responsible for developing and deploying machine learning models that power spatial intelligence solutions, leveraging Python, TensorFlow, and AWS to deliver high‑impact insights for decision makers.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning models for spatial data analysis using Python and TensorFlow/PyTorch.
- Collaborate with data engineers to ingest, clean, and transform large geospatial datasets.
- Deploy models to cloud environments (AWS) and maintain production pipelines with CI/CD practices.
- Conduct model validation, performance tuning, and A/B testing to ensure reliability and scalability.
- Document model architecture, data flows, and results for cross‑functional teams.
Requirements
- Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- Proven track record of building end‑to‑end ML solutions on cloud platforms, preferably AWS.
- Solid understanding of data science concepts, statistical analysis, and feature engineering.
- Experience with version control, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Security clearance (TS/SCI with CI Poly) required for this role.
Skills
pythontensorflowmachine learningaws