onsite
Principal Machine Learning Engineer Agentic AI - Vendor Data Team
ML Engineer
Lead the design and deployment of agentic AI models for vendor data pipelines, ensuring robust adversarial defenses, privacy compliance, and high‑quality data processing using Python, deep learning frameworks, and cloud services.
About the role
Key Responsibilities
- Architect and implement large‑scale agentic AI systems that ingest, clean, and enrich vendor data while maintaining strict privacy and security standards.
- Design adversarial‑robust machine learning models using reinforcement learning and deep learning techniques to detect and mitigate data manipulation attempts.
- Collaborate with data engineering and product teams to build end‑to‑end pipelines on AWS, leveraging services such as SageMaker, Lambda, and Glue.
- Establish data quality metrics, monitoring, and automated validation frameworks to ensure continuous improvement of data integrity.
- Mentor senior engineers and drive best practices in model reproducibility, versioning, and deployment.
Requirements
- 10+ years of experience in machine learning engineering, with a focus on agentic or autonomous AI systems.
- Expertise in Python and deep learning frameworks (TensorFlow, PyTorch) and reinforcement learning libraries.
- Proven track record building secure, privacy‑preserving data pipelines and defending models against adversarial attacks.
- Strong background in cloud platforms, especially AWS, and infrastructure‑as‑code for scalable ML deployments.
- Excellent problem‑solving skills and ability to lead cross‑functional teams in a fast‑paced environment.
Skills
pythonmachine learningdeep learningreinforcement learningaws