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Noodle.ai
Noodle.ai cover picture
Founded :
2016
Type :
Product
Size :
100-500
Stage :
Raised funding

About

Noodle.ai is Enterprise AI®. We’re on a mission to create a world without waste. We push the limits of data science, helping plan, make, and move goods and resources for manufacturers and complex supply chains.
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Supriya Patanjali

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Jobs at Noodle.ai

Noodle.ai
at Noodle.ai
2 recruiters
Ankita Ghosh
Posted by Ankita Ghosh
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
8 - 15 yrs
₹20L - ₹70L / yr
TensorFlow
pandas
skill iconPython
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
+2 more

Must have:

  • 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
  • Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
  • Good understanding of Generics, OOPs concepts & Design Patterns
  • Solid engineering and coding skills. Ability to write high-performance production quality code in Python
  • Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
  • Strong expertise in time series forecasting using stat, ML, DL and foundation models
  • Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
  • Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
  • Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
  • Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
  • Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders


Good To Have:

  • Experience with MLOps tools and practices for continuous integration and deployment of ML models.
  • Has familiarity with deploying applications on Kubernetes
  • Knowledge of supply chain management principles and challenges.
  • A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
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