AI-Driven Supply Chain Optimization Specialist

Qualifications

• Bachelor's degree in Computer Science or Software Engineering with a 3.5+ GPA

• At least 3 years of experience in architecting MLOps pipelines for Deep Learning models

• Strong understanding of training models in distributed multi-node GPU environments

• Familiarity with data engineering technologies such as Airflow, Spark, Trino, Flink, or BigQuery

• Excellent written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences

• Proficiency in Python and experience with PyTorch, Tensorflow, or JAX

Benefits

• Compensation Package

• $165,000 - $220,000 per year, commensurate with experience

Responsibilities

• This role will involve collaborating with cross-functional teams to build high-quality product features that can be used by major companies worldwide

• Deploy AI models to solve complex problems in global supply chain and manufacturing

• Work closely with Engineering, Design, Product Management, and industry experts to develop innovative solutions

• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a fast-paced startup environment

Full Description

Overview of Regrello Corp

Regrello Corp is a pioneering startup that is revolutionizing the supply chain industry by leveraging cutting-edge automation technology.

Our team consists of experienced professionals from top-tier companies, including Oracle, Palantir, Apple, Amazon, and Microsoft.

We are backed by prominent investors such as Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and RamSriram, who was also one of the first investors in Google.

Role Summary

We are seeking an exceptional AI-driven Supply Chain Optimization Specialist to join our dynamic team.

This role will involve collaborating with cross-functional teams to build high-quality product features that can be used by major companies worldwide.

Key Responsibilities

• Deploy AI models to solve complex problems in global supply chain and manufacturing.

• Work closely with Engineering, Design, Product Management, and industry experts to develop innovative solutions.

• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a fast-paced startup environment.

Requirements and Qualifications

• Bachelor's degree in Computer Science or Software Engineering with a 3.5+ GPA.

• At least 3 years of experience in architecting MLOps pipelines for Deep Learning models.

• Strong understanding of training models in distributed multi-node GPU environments.

• Familiarity with data engineering technologies such as Airflow, Spark, Trino, Flink, or BigQuery.

• Excellent written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences.

• Proficiency in Python and experience with PyTorch, Tensorflow, or JAX.

Compensation Package

$165,000 - $220,000 per year, commensurate with experience.