Remote ML Engineer for Supply Chain Optimization

GetJobSmart

St. Louis (MO)

Hybrid

USD 110,000 - 160,000

Full time

9 days ago

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Benefits offered by this job

Health insurance
Retirement plans with employer match
Flexible work schedule
Remote work options
Performance bonuses
Stock options

Job summary

Pinnacle North Group in St. Louis, MO is seeking a Machine Learning Engineer for a full-time role with a negotiable salary.

You will build ML solutions for supply chain optimization, including predictive analytics and NLP for customer sentiment analysis. The position supports remote work options and offers a comprehensive benefits package, including health insurance and retirement plans, with opportunities for professional development.

Qualifications

  • Master's degree or PhD in Computer Science, Statistics, or a related field.
  • Experience with machine learning frameworks like TensorFlow or PyTorch is required.
  • Knowledge of SQL and data visualization tools is a plus.

Responsibilities

  • Design and implement machine learning models to solve complex business problems.
  • Collaborate with cross-functional teams to translate business needs into technical requirements.
  • Develop and maintain ML pipelines, ensuring data quality and model performance.
  • Stay up-to-date with ML and data science advancements.
  • Document work and share knowledge with the team.
  • Participate in code reviews and provide constructive feedback.

Skills

Master's level education
Problem solving
Communication & teamwork

Education

Master's degree or PhD in CS/Statistics

Tools

Python
TensorFlow
PyTorch
scikit-learn
SQL
Spark
AWS / GCP
Data visualization tools

Job description

Pinnacle North Group in St. Louis, MO is seeking a Machine Learning Engineer for a full-time role with a negotiable salary.

You will build ML solutions for supply chain optimization, including predictive analytics and NLP for customer sentiment analysis. The position supports remote work options and offers a comprehensive benefits package, including health insurance and retirement plans, with opportunities for professional development.

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