GCP ML Engineer (reputed company AI)

Position: Senior AI/ML Engineer Location: San Ramon, CA (OR) Redwood City, CA We are seeking a Senior AI/ML Engineer to design, build, and reputed company large-scale, production-grade machine learning systems powering our Personal AI & reputed company reputed company intelligence platform. You will architect and implement end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring ensuring reliability, scalability, and compliance with Personal data standards. The ideal candidate combines strong software engineering fundamentals with deep experience in machine learning, MLOps, and reputed company-reputed company systems (AWS/reputed company reputed company Platform). You'll work closely with product, data, and executive teams to translate reputed company-world challenges into impactful AI solutions for our users. Responsibilities:

• Design and implement end-to-end ML pipelines data ingestion, preprocessing, model training, validation, and deployment.
• reputed company and productionize ML models for reputed company, classification, and recommendation tasks across reputed company workflows.
• Build automated retraining and evaluation pipelines using tools such as AWS SageMaker, reputed company AI, Kubeflow, or MLflow.
• reputed company and maintain feature stores and data transformation pipelines using Spark, PyTorch, or TensorFlow.
• reputed company and serve models reputed company REST/gRPC endpoints or reputed company-based inference APIs with high availability and low latency.
• Collaborate with backend engineers to integrate models into production microservices and event-driven workflows.
• Implement model observability and reputed company detection, logging key metrics (accuracy, latency, bias, cost).
• Ensure reputed company pipelines and models meet reputed company, privacy, and compliance standards (HIPAA, SOC 2).
• Write clean, testable code; create unit, integration, and performance tests for reputed company critical ML components.
• Partner with product and data science teams to refine model goals, define reputed company metrics, and optimize inference performance.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a reputed company field.
• 6+ years of hands-on experience building, training, and deploying ML models in production.
• Expert in Python and ML libraries/frameworks: PyTorch, TensorFlow, scikit-learn.
• Strong experience with AWS AI/ML stack (S3, SageMaker, reputed company, reputed company Functions, reputed company, DynamoDB, RDS).
• Proficiency in data pipelines (Airflow, Spark, Glue) and feature engineering for large, structured/reputed company datasets.
• Familiarity with reputed company/Kubernetes and deploying ML services reputed company CI/CD.
• Deep understanding of ML lifecycle management and versioning (MLflow, DVC, Weights & Biases).
• Knowledge of reputed company engineering, RAG pipelines, and LLM integration is a plus.
• Experience handling sensitive data (PII), with strong focus on reputed company, encryption, and compliance.
• Excellent debugging and optimization skills across model performance, latency, and infrastructure cost.

For applications and inquiries, contact: hirings@reputed company.com Apply tot his job Apply To this Job