remote
Machine Learning Engineer / Scientist - Precise Systems
ML Engineer
Design, develop, and deploy advanced machine learning models for defense‑focused applications, leveraging Python, deep‑learning frameworks, and cloud services to deliver mission‑critical intelligence and automation solutions.
About the role
Key Responsibilities
- Develop and implement state‑of‑the‑art machine learning and deep learning algorithms for signal processing, sensor fusion, and predictive analytics.
- Design data pipelines and preprocessing workflows to handle large, heterogeneous defense datasets.
- Collaborate with domain experts to translate operational requirements into scalable AI solutions.
- Deploy, monitor, and optimize models on cloud platforms (e.g., AWS) ensuring high availability and security.
- Document model architecture, performance metrics, and validation results for stakeholder review.
Requirements
- Strong proficiency in Python and experience with TensorFlow or PyTorch.
- Solid understanding of machine learning, deep learning, and statistical modeling techniques.
- Hands‑on experience building data pipelines and working with large‑scale datasets.
- Familiarity with cloud services (AWS) for model training, deployment, and monitoring.
- Excellent problem‑solving skills and ability to work in a multidisciplinary, security‑sensitive environment.
Skills
pythontensorflowpytorchmachine learningdeep learningaws