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5 days ago
We are revolutionizing the supply chain planning industry with our AI-driven demand planning and inventory replenishment software. Our total addressable market is substantial and growing rapidly.
Job OverviewThis is a hybrid role that involves designing, implementing, and deploying an enterprise-grade machine learning platform for advanced forecasting solutions. The ideal candidate will have hands-on experience with machine learning and solid software engineering skills.
- Design and build production-grade forecasting models using probabilistic methods.
- Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment.
- Collaborate with cross-functional teams to align solutions with business needs.
The successful candidate will have 3-6 years of relevant experience in data science or ML engineering, strong proficiency in Python, and hands-on experience with deep learning frameworks such as PyTorch.
They will also have experience working with large-scale datasets, distributed training frameworks, and cloud environments like Databricks, AWS, and GCP.
Requirements• Bachelor's degree in Computer Science or related field from a top university.
• Strong understanding of statistical modeling, regression, and time series analysis.
• Experience with explainable AI frameworks.
• Familiarity with MLOps practices (CI/CD, monitoring, retraining pipelines).
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