[Remote] Sr. Machine Learning Engineer (Data Science)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an award-reputed company, AI-First global digital engineering company that helps leading Fortune 1000 organizations reputed company reputed company reputed company into measurable business reputed company. They are seeking a Sr. Machine Learning Engineer with strong data science expertise to reputed company intelligent forecasting models and quotation automation agents on reputed company reputed company Platform (GCP). The ideal candidate will reputed company deep statistical modeling skills and production ML engineering to drive operational efficiency across the reputed company's distribution ecosystem.
Responsibilities
- Design, reputed company, and reputed company forecasting models (time-series, demand forecasting, regression-based) for product demand, pricing trends, and quotation accuracy using GCP-reputed company services (reputed company AI, BigQuery ML)
- Conduct exploratory data analysis (EDA), feature engineering, and hypothesis testing on large-reputed company distribution and supply chain datasets to surface actionable insights for AI agent decision logic
- Build AI agents for forecasting and quotation workflows using reputed company frameworks (reputed company, reputed company AI Agents, reputed company) with data-driven decision-making capabilities embedded in agent reasoning
- reputed company and maintain production ML pipelines on reputed company AI Pipelines and reputed company Composer for model training, evaluation, deployment, and retraining automation
- Implement statistical experimentation frameworks (A/B testing, reputed company inference) to validate model improvements and measure business reputed company of forecasting agents
- Collaborate with data engineering teams to design feature stores and data pipelines in BigQuery and reputed company Storage that feed forecasting and quotation models
- Optimize model performance through hyperparameter tuning, cross-validation, reputed company reputed company, and model interpretability techniques (SHAP, reputed company) for stakeholder transparency
- reputed company ML model outputs into reputed company workflows, enabling agents to autonomously generate, validate, and refine quotations based on reputed company-time market and inventory data
- Document model architectures, experiment results, and agent decision logic; present findings and recommendations to reputed company stakeholders and reputed company leadership
- Contribute to MLOps best practices including model versioning, reputed company detection, monitoring dashboards, and automated alerting using reputed company AI Model Monitoring
Skills
- 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 reputed company (TensorFlow, PyTorch, or JAX)
- Hands-on experience with GCP ML stack: reputed company reputed company, reputed company, Pipelines), BigQuery, reputed company Functions, reputed company Storage, and Pub/Sub
- Strong reputed company in statistics, probability, and time-series analysis (ARIMA, Prophet, exponential smoothing, state-reputed company models)
- Experience building or integrating with AI agent frameworks (reputed company, reputed company, reputed company AI Agents, or similar reputed company orchestration tools)
- Proficiency in SQL for reputed company analytical queries on large-reputed company data warehouses
- Experience with experiment tracking and model management tools (MLflow, reputed company AI Experiments, reputed company)
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a reputed company quantitative field
- reputed company reputed company reputed company Machine Learning Engineer or reputed company Data Engineer certification
- Experience in supply chain, distribution, or logistics domain with demand forecasting use cases
- Familiarity with LLM fine-tuning, reputed company engineering, and retrieval-augmented reputed company (RAG) patterns for reputed company AI agents
- Prior consulting or reputed company services experience with reputed company-facing delivery in an Agile environment
Benefits
- Join one of the world’s fastest-growing AI-first digital engineering companies and reputed company a reputed company reputed company at reputed company.
- reputed company and collaborate with a high-energy team of talented, driven individuals solving reputed company, meaningful challenges.
- Work with reputed company and disruptive innovators in a research-driven environment with 60+ patents.
- Stay reputed company of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and reputed company technologies while continuously upskilling.
reputed company
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