Chief of Staff

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Tulip is seeking an experienced AI Process Engineer to join our team and help lead the revolution in manufacturing operations through the application of AI and machine learning.

About the role

As an AI Process Engineer at Tulip, you will design, develop, and deploy AI-driven solutions that transform manufacturing processes. You will work closely with customers and internal teams to identify opportunities for AI integration, build and train models, and ensure seamless deployment within Tulip’s platform. This role is ideal for someone passionate about leveraging AI to solve real-world operational challenges in discrete manufacturing, pharmaceuticals, medical devices, and other industries.

Responsibilities

• Collaborate with customers to understand manufacturing processes and identify AI/ML use cases.
• Design, develop, and train machine learning models to improve efficiency, quality, and traceability in manufacturing operations.
• Integrate AI models into Tulip’s platform, ensuring scalability, performance, and usability.
• Work with cross-functional teams, including software engineers, data scientists, and domain experts, to deploy AI solutions.
• Monitor and optimize AI models post-deployment to ensure continuous improvement.
• Stay current with advancements in AI/ML and manufacturing technologies, and apply them to Tulip’s products.
• Provide guidance and support to customers and internal teams on AI best practices and implementation.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of experience in AI/ML model development, training, and deployment.
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
• Strong problem-solving skills and the ability to translate business challenges into technical solutions.
• Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.

Skills

• Machine Learning (supervised/unsupervised learning, reinforcement learning, NLP).
• Deep Learning (CNNs, RNNs, transformers).
• Data visualization and storytelling (e.g., using Matplotlib, Seaborn, or Tableau).
• Experience with manufacturing data (time-series, sensor data, or IoT) is a plus.
• Knowledge of manufacturing processes, MES, or Industry 4.0 technologies is highly desirable.

Benefits

• Opportunity to work on cutting-edge AI applications in manufacturing.
• Collaborative and innovative work environment with a mission-driven team.
• Access to Tulip’s platform and resources for AI/ML development.
• Professional growth and learning opportunities in a fast-growing field.
• Flexible work arrangements and a focus on work-life balance.