Overview:
We are looking for a talented and driven Operations Systems Analyst to join our engineering team and help build intelligent systems that power our products. You will be responsible for developing, testing, and deploying AI models and algorithms, working closely with fellow software engineers, and product teams to deliver impactful solutions. As a company that likes to stay ahead of the curve, this role will be vital in the success of our high-tech goals!

What You’ll Do:

• AI Model Development: Build and implement machine learning and deep learning models for tasks such as classification, prediction, recommendation, and natural language processing.
• Web Design: Create and maintain online accounts for viewing statistics, reporting and dashboards across multiple facilities.
• Data Preparation: Clean, preprocess, and transform structured and unstructured data for model training and evaluation.
• Model Evaluation & Tuning: Test models using appropriate metrics and optimize performance through hyperparameter tuning and feature engineering.
• Integration & Deployment: Integrate AI models into production systems and applications using APIs, microservices, or embedded components.
• Collaboration: Work with cross-functional teams to understand business requirements and translate them into technical solutions.
• Documentation: Maintain clear documentation of model architecture, training processes, and deployment workflows.
• Continuous Learning: Stay updated with the latest AI tools, frameworks, and best practices.

What You’ll Need:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• 2–5 years of experience in AI/ML and App development.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data manipulation tools (e.g., Pandas, NumPy) and visualization libraries (e.g., Matplotlib, Seaborn).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker).
• Understanding of software engineering principles and version control (Git).

What We Offer:

• Competitive Pay
• Holiday Pay
• Referral Bonuses
• Long-Term Career Advancement
• Paid Time Off
• Medical, Dental, Vision, Basic Life, AD&D, and Short-Term & Long-Term Disability insurance for Eligible Full Time Employees
• 401(k) Retirement Plan
• Great Team Environment

What It’s Like:
48forty Solutions is the largest pallet management services company in North America! We provide end-to-end pallet solutions, from supply to retrieval, on-site services, reverse logistics, and packaging materials. We are truly Pallet Management Made Simple, our workforce is the heart and soul of our business, and we’re looking for our next Operations Systems Analyst to join our team!

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

• The employee will be working at the corporate office and will be required to sit for long periods of time at a desk working on a laptop
• The noise level in the work environment is usually moderate

48forty Solutions is an equal opportunity employer.
Pay Range: USD $70,000.00 - USD $72,000.00 /Yr

What You’ll Do:

• AI Model Development: Build and implement machine learning and deep learning models for tasks such as classification, prediction, recommendation, and natural language processing.
• Web Design: Create and maintain online accounts for viewing statistics, reporting and dashboards across multiple facilities.
• Data Preparation: Clean, preprocess, and transform structured and unstructured data for model training and evaluation.
• Model Evaluation & Tuning: Test models using appropriate metrics and optimize performance through hyperparameter tuning and feature engineering.
• Integration & Deployment: Integrate AI models into production systems and applications using APIs, microservices, or embedded components.
• Collaboration: Work with cross-functional teams to understand business requirements and translate them into technical solutions.
• Documentation: Maintain clear documentation of model architecture, training processes, and deployment workflows.
• Continuous Learning: Stay updated with the latest AI tools, frameworks, and best practices

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

• The employee will be working at the corporate office and will be required to sit for long periods of time at a desk working on a laptop
• The noise level in the work environment is usually moderat