fairlife, LLC is looking to establish a world-class Decision Intelligence ecosystem by advancing AI and ML models for production optimization, quality control, predictive maintenance, supply chain forecasting, and real-time operational analytics.
Requirements
- Hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Proficiency in Python and SQL for data manipulation, analysis, and model development
- Familiarity with cloud platforms (Azure/Fabric, AWS, or GCP) for scalable AI/ML deployment
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines)
- Knowledge of AI enablement concepts, including prompt engineering, model fine-tuning, and responsible AI practices
- Ability to visualize data and model results using tools like Power BI, Tableau, Matplotlib, or Seaborn
- Experience in data cleaning, exploration, and analysis
Responsibilities
- Collaborate with the Senior Data Scientist to design, develop, and deploy AI and ML models supporting analytics and business objectives
- Engineer and maintain scalable data pipelines for AI/ML workflows
- Enable AI adoption by developing reusable components, APIs, and automation scripts
- Support model lifecycle management, including monitoring, retraining, and performance optimization
- Implement MLOps best practices for version control, CI/CD, and automated deployment
- Assist in the development of advanced analytics dashboards and tools to communicate model results
- Apply prompt engineering and model fine-tuning techniques to improve AI solution effectiveness
Other
- 2-4+ years of relevant experience in data science, AI engineering, or related fields
- Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Engineering, or a related STEM field
- Strong communication skills for collaborating with business and technical teams
- Experience in manufacturing and supply chain (preferred)
- travel: < 10%
