onsite
AI Engineer - F5 Networks
AI Engineer
AI Engineer building scalable ML solutions on AWS, designing end‑to‑end pipelines, and deploying deep learning models to enhance cybersecurity and application performance.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models using Python and deep learning frameworks.
- Build and maintain end‑to‑end data pipelines on AWS (S3, Glue, SageMaker, Lambda) to ingest, transform, and serve data for model training and inference.
- Collaborate with security, product, and infrastructure teams to integrate AI solutions into application delivery and threat detection workflows.
- Optimize model performance and cost through hyperparameter tuning, model compression, and efficient resource utilization.
- Document model lifecycle, performance metrics, and best practices for reproducibility and compliance.
Requirements
- 3+ years of experience in applied machine learning or AI engineering.
- Proficiency in Python, TensorFlow/PyTorch, and AWS ML services.
- Strong background in data engineering, SQL, and cloud data architecture.
- Experience with model deployment, monitoring, and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningawsdeep learning