onsite
Data Scientist - Air Dominance & Strike
Data Scientist
Data Scientist specializing in air dominance and strike analytics, building advanced computer‑vision models and machine‑learning pipelines on AWS and Azure cloud platforms.
About the role
Key Responsibilities
- Design, develop, and deploy computer‑vision and machine‑learning models to analyze air‑dominance and strike data.
- Build scalable data pipelines and inference services using AWS and Azure cloud services.
- Collaborate with domain experts to translate operational requirements into analytical solutions.
- Perform data preprocessing, feature engineering, and model validation to ensure high‑accuracy predictions.
- Monitor model performance in production and iterate improvements based on real‑world feedback.
Requirements
- Strong proficiency in Python and its data‑science ecosystem (NumPy, pandas, scikit‑learn, PyTorch/TensorFlow).
- Hands‑on experience with computer‑vision techniques and frameworks (OpenCV, YOLO, Detectron2).
- Proven experience deploying ML workloads on AWS (SageMaker, Lambda, ECS) and Azure (ML Studio, Functions, AKS).
- Solid understanding of statistical modeling, data wrangling, and performance evaluation.
- Ability to work cross‑functionally with engineers and subject‑matter experts in a fast‑paced, mission‑critical environment.
Skills
pythonmachine learningcomputer visionawsazure