Senior Machine Learning Engineer, Data Science

🔥 3 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

Artificial Intelligence • Enterprise • Education

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Design, develop, and deploy forecasting models for product demand, pricing trends, and quotation accuracy using GCP-native services • Conduct exploratory data analysis (EDA) and feature engineering on large-scale datasets • Build AI agents for forecasting and quotation workflows using agentic frameworks • Develop and maintain production ML pipelines on Vertex AI Pipelines and Cloud Composer • Implement statistical experimentation frameworks to validate model improvements • Collaborate with data engineering teams to design feature stores and data pipelines in BigQuery • Optimize model performance through hyperparameter tuning and interpretability techniques • Integrate ML model outputs into agentic workflows • Document model architectures and present findings to stakeholders

🎯 Requirements

• 6+ years of experience in machine learning engineering and data science • Proficiency in Python (Pandas, NumPy, scikit-learn, statsmodels) and at least one deep learning framework (TensorFlow, PyTorch, or JAX) • Hands-on experience with GCP ML stack: Vertex AI, BigQuery, Cloud Functions, Cloud Storage, and Pub/Sub • Strong foundation in statistics, probability, and time-series analysis (ARIMA, Prophet, exponential smoothing, state-space models) • Experience building or integrating with AI agent frameworks (LangChain, LlamaIndex, Vertex AI Agents, or similar agentic orchestration tools) • Proficiency in SQL for complex analytical queries on large-scale data warehouses • Experience with experiment tracking and model management tools (MLflow, Vertex AI Experiments, Weights & Biases) • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field

🏖️ Benefits

• Join one of the world’s fastest-growing AI-first digital engineering companies • Make a real impact at scale • Lead and collaborate with a high-energy team • Work with Fortune 500 companies