Data Science Platform Engineer

2 days ago


Palo Alto, California, United States AiDash Full time
About the Job

We are seeking an experienced Principal Machine Learning Engineer to join our team at AiDash. As a key member of our engineering team, you will develop and enhance our machine learning infrastructure and platforms, working closely with our diverse teams to drive innovation and excellence.

Responsibilities:
  • Design and build scalable platforms for training and inference of ML models using distributed computing frameworks
  • Develop and integrate data pre-processing and post-processing workflows for seamless model deployment, leveraging expertise in Python programming and Docker
  • Build robust model monitoring services on top of the inference platform to ensure optimal performance, utilizing tools like MLFlow, TensorBoard, and Weights & Biases
  • Create platforms for large-scale model evaluation and grading, applying knowledge of MLOps practices and cloud platforms
  • Develop advanced tools for model experimentation to accelerate innovation, handling large datasets for training and integrating experience with HDFS, Data Lakes, and both SQL and NoSQL databases
  • Oversee the entire ML lifecycle, including design, experimentation, development, deployment, monitoring, and maintenance, guiding a team of software engineers
About AiDash's Benefits

AiDash offers a comprehensive benefits package, including medical, dental, and vision coverage, a health reimbursement account, and a 401(k) plan. We also provide generous vacation policy and parental leave, supporting work-life balance and employee well-being.

About Salary and Equity

The estimated salary for this position is between $200,000 and $250,000 per year, reflecting the anticipated base salary for new hires. We strive to ensure our compensation packages are equitable and aligned with industry standards.



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