
Data Scientist and Machine Learning Engineer
4 days ago
As a skilled data scientist and machine learning engineer, you will play a vital role in designing, implementing, and deploying ultra-real-time AI-driven demand planning engines using Amazon AWS services.
The successful candidate will develop advanced machine learning models to tackle complex supply chain challenges and collaborate with cross-functional teams to ensure solutions align with business objectives.
Key Responsibilities:
- Design and build production-grade forecasting models that drive business growth.
- Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment.
- Construct probabilistic models to quantify forecast uncertainty and make informed decisions.
- Write clean, modular, object-oriented code following best practices.
- Implement MLOps best practices, including model versioning, monitoring, and CI/CD.
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.
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