Senior Machine Learning Platform Engineer-- SINDC

Job:
Senior Machine Learning Platform Engineer

Location:
Irvine, CA Onsite

• Architect and guide the design of a scalable, secure ML platform supporting the full ML lifecycle, from data ingestion to model monitoring.
• Design and implement infrastructure for model training, hyperparameter tuning, experiment tracking, and model registry.
• Orchestrate ML workflows using tools such as Kubeflow, Sage Maker, MLflow, or similar.
• Collaborate with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering to define best practices for reproducibility, governance, and CI/CD for ML.
• Partner with Data Engineers to build robust data pipelines for model‑ready datasets.
• Optimize ML workload performance across compute and storage layers using cloud‑native and open‑source solutions.
• Lead technical discussions, mentor junior engineers, and help set the technical vision for the ML platform roadmap.
• Ensure compliance with security, privacy, and regulatory requirements throughout the ML lifecycle.

• Demonstrated ability to embrace AI and apply it to your current role as well as data‑driven insights to drive innovation, productivity, and continuous improvement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of software engineering experience, including 5+ years working on ML platforms or infrastructure.
• Expertise in building large-scale distributed systems and microservices.
• Strong programming skills in Python, Go, or Java.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Advanced experience with MLOps tools such as MLflow, Kubeflow, Sage Maker, Vertex AI, or Databricks.
• Cloud platform experience (AWS, GCP, or Azure).
• Experience with statistical learning algorithms (GLM, XGBoost, Random Forest) and deep learning (neural networks, transformers).
• Strong communication, leadership, and problem‑solving skills.