Supply Chain Forecasting Expert

2 weeks ago

Vellore, Tamil Nadu, India beBeeMachineLearning Full time US$ 1,50,000 - US$ 1,80,000
Senior Data Scientist / ML Engineer

We are seeking a highly skilled Senior Data Scientist / ML Engineer to design and operationalize advanced forecasting solutions at scale.

  • Design, build, and deploy production-grade forecasting models.
  • Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment.
  • Build probabilistic models to quantify forecast uncertainty.
  • Write clean, modular, object-oriented code following best practices.
  • Implement MLOps best practices including model versioning, monitoring, and CI/CD.
  • Work with distributed training frameworks for scalable model development.
  • Collaborate with cross-functional teams to align solutions with business needs.
  • Work with cloud-based environments for large-scale data processing.

This is a hybrid role 3 days a week. If you are passionate about leveraging machine learning and AI technologies to solve complex supply chain challenges, this is the perfect opportunity.

Requirements:
  • 3–6 years of relevant experience in Data Science / ML Engineering.
  • Strong proficiency in Python and core libraries such as pandas, numpy, scikit-learn.
  • Hands-on experience with deep learning frameworks (preferably PyTorch).
  • Experience with distributed training and large-scale datasets.
  • Proven ability to build scalable, production-grade ML pipelines.
  • Familiarity with MLOps practices (CI/CD, monitoring, retraining pipelines).
  • Solid understanding of statistical modeling, regression, and time series.
  • Experience working in cloud environments.
  • Strong software engineering skills with a focus on clean, modular, object-oriented code.
  • Excellent problem-solving, communication, and collaboration skills.
  • MS or BS in CS or related from a top university.

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