Principal Engineer - AI

at Noodle.ai

Principal Engineer - AI

Noodle.ai

Company

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Principal Engineer - AI

at Noodle.ai

Posted by Ankita Ghosh

8 - 15 yrs

₹20L - ₹70L / yr

Remote only

Skills

TensorFlow

pandas

Python

Artificial Intelligence (AI)

Machine Learning (ML)

Timeseries forescasting

Generative AI

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

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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About Noodle.ai

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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