Sr. Machine Learning Engineer (Data Science)

Role overview

Responsibilities

• check_circle Design, develop, and deploy forecasting models (time-series, demand forecasting, regression-based) for product demand, pricing trends, and quotation accuracy using GCP-native services (Vertex AI, BigQuery ML).
• check_circle Conduct exploratory data analysis (EDA), feature engineering, and hypothesis testing on large-scale distribution and supply chain datasets to surface actionable insights for AI agent decision logic.
• check_circle Build AI agents for forecasting and quotation workflows using agentic frameworks (LangChain, Vertex AI Agents, CrewAI) with data-driven decision-making capabilities embedded in agent reasoning.
• check_circle Develop and maintain production ML pipelines on Vertex AI Pipelines and Cloud Composer for model training, evaluation, deployment, and retraining automation.
• check_circle Implement statistical experimentation frameworks (A/B testing, causal inference) to validate model improvements and measure business impact of forecasting agents.
• check_circle Collaborate with data engineering teams to design feature stores and data pipelines in BigQuery and Cloud Storage that feed forecasting and quotation models.
• check_circle Optimize model performance through hyperparameter tuning, cross-validation, ensemble methods, and model interpretability techniques (SHAP, LIME) for stakeholder transparency.
• check_circle Integrate ML model outputs into agentic workflows, enabling agents to autonomously generate, validate, and refine quotations based on real-time market and inventory data.
• check_circle Document model architectures, experiment results, and agent decision logic; present findings and recommendations to client stakeholders and Quantiphi leadership.
• check_circle Contribute to MLOps best practices including model versioning, drift detection, monitoring dashboards, and automated alerting using Vertex AI Model Monitoring.

Basic qualifications

• 6+ years of experience in machine learning engineering and data science, with a strong portfolio of deployed forecasting or predictive models.
• 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 (Training, Prediction, Pipelines), 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.

Preferred qualifications

• Google Cloud Professional Machine Learning Engineer or Professional Data Engineer certification.
• Experience in supply chain, distribution, or logistics domain with demand forecasting use cases.
• Familiarity with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) patterns for enterprise AI agents.
• Prior consulting or professional services experience with client-facing delivery in an Agile environment.
• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

About the company

• check_circle 21 Google Cloud Partner of the Year awards in the past 10 years
• check_circle 3 AWS AI/ML Partner of the Year awards
• check_circle 3 NVIDIA Partner of the Year awards
• check_circle 3 Snowflake Partner of the Year awards
• check_circle Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms