Machine Learning Engineer

Pinnacle North Group; St. Louis (MO); Híbrido; USD 110 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Retirement plans with employer match

Flexible work schedule

Remote work options

Performance bonuses

Stock options

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Master's level education

Problem solving

Communication & teamwork

Formação académica

Master's degree or PhD in CS/Statistics

Ferramentas

Python

TensorFlow

PyTorch

scikit-learn

SQL

Spark

AWS / GCP

Data visualization tools

Descrição da oferta de emprego

Pinnacle North Group, a logistics and supply chain company, seeks a Machine Learning Engineer in St. Louis, MO. This is a full-time position with a negotiable salary. The application deadline is November 22, 2026.

In this role, you will be responsible for creating machine learning solutions tailored to supply chain optimization. Your primary tasks will involve predictive analytics, where you will analyze historical data to forecast demand, identify trends, and optimize inventory levels. Additionally, you will work on natural language processing applications, such as sentiment analysis of customer feedback to gauge satisfaction levels and improve product offerings. By leveraging these technologies, you will enhance overall supply chain efficiency and significantly boost customer satisfaction.

You will collaborate with a team of professionals in a modern workplace in St. Louis, MO, where you can expect a dynamic and supportive environment. The company offers a competitive benefits package, which includes health insurance, retirement plans, and other perks designed to support your well-being and financial security. This package is tailored to meet the needs of employees, ensuring a balanced work-life experience.

The salary for this position is negotiable, and the benefits package includes comprehensive health insurance, retirement plans with employer matching contributions, and opportunities for professional development through workshops, training programs, and access to industry conferences. Additionally, employees are provided with a flexible work schedule and remote work options, promoting a healthy work-life balance. The company also offers performance bonuses and stock options, further incentivizing employee success and growth within the organization.

You must have a degree in computer science 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.

What You Will Do:

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

What You Bring:

• A Master's degree or PhD in Computer Science, Statistics, or a related field, or equivalent experience.
• Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud platforms like AWS or GCP, and familiarity with big data technologies like Spark.
• Solid understanding of machine learning algorithms and their applications.
• Excellent problem-solving skills and a keen attention to detail.
• Strong communication and teamwork skills.