AI-Powered Supply Chain Optimization Specialist

6 days ago

Vadodara, Gujarat, India beBeeSupply Full time ₹ 20,00,000 - ₹ 25,00,000

Optimize Supply Chain Efficiency as a Senior Data Scientist

 

We are revolutionizing the supply chain industry with our cutting-edge AI-driven demand planning and inventory replenishment software. Our goal is to help businesses navigate the complexities of supply chain management and make informed decisions.

 

Job Description

As a Senior Data Scientist, you will play a critical role in designing, implementing, and deploying our 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 clients serve industries that manage perishable items, including food manufacturing, restaurants, grocery stores, pharmaceuticals, and more.

 

Responsibilities
  • 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
  • Work with cloud-based environments (e.g., Databricks, AWS, GCP) for large-scale data processing

 

Requirements

To succeed in this role, you should have:

  • 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

 

What We Offer

We offer a competitive salary, comprehensive benefits package, and opportunities for growth and professional development.

 

If you are passionate about leveraging machine learning and AI technologies to solve complex supply chain challenges, we encourage you to apply for this exciting opportunity.

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