Data Scientist Machine Learning Specialist

1 week ago

Jodhpur, Rajasthan, India beBeeSupplyChain Full time ₹ 2,50,00,000 - ₹ 3,25,00,000
Supply Chain Planning Expert

We are looking for a skilled professional to join our team and drive innovation in demand forecasting and supply chain management.

This is an exciting opportunity to work with cutting-edge technology and contribute to the development of a modern, enterprise-grade ML platform. Our AI-driven demand planning and inventory replenishment software aims to revolutionize the supply chain management industry.

The total addressable market (TAM) for supply chain management (SCM) software is substantial and growing rapidly, valued at approximately $28.9 billion in 2023 and projected to reach $45.2 billion by 2027, reflecting a compound annual growth rate (CAGR) of around 9.4% during the forecast period.

We specifically target the rapidly growing segment of the supply chain management (SCM) industry: small and medium-sized businesses (SMBs). This focus has become even more pertinent in light of the supply chain disruptions caused by COVID-19. SMBs now have access to technological advantages previously exclusive to large enterprise companies.

Responsibilities

In this role, you will be responsible for designing, implementing, and deploying the next-generation platform tightly integrated with Amazon AWS services such as EMR, Athena, Glue, and Spark. You will develop an ultra-real-time, AI-driven demand planning engine to help our client serve industries that manage perishable items, including food manufacturing, restaurants, grocery stores, pharmaceuticals, and more.

You will 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 (engineering, product, strategy) to align solutions with business needs, and work with cloud-based environments (e.g., Databricks, AWS, GCP) for large-scale data processing.

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 (Databricks, AWS, GCP)
  • 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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