The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The Role
As a Senior AI Engineer in our rapidly growing Technology Group, you will provide technical leadership in developing innovative solutions for the next generation of AspenTech's Manufacturing and Supply Chain solutions. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive AspenTech's Manufacturing and Supply Chain suite by developing ground-breaking software.
Your Impact
- Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Manufacturing and Supply Chain offerings.
What You'll Need
- Master's degree in Computer Science, Chemical Engineering, Mathematics, Operations Research, or a related major; PhD preferred.
- 5+ years of experience in data science and software development in the modeling, optimization, and control of chemical, oil and gas, and/or refining processes.
- Track record of experience in Python programming, including data science specific packages, such as Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn, etc.
- Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, cognitive computing).
- Strong expertise required in one of these areas: numerical methods, mathematical modeling, optimization.
- Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus.
- Problem-solving ability and attention to details.
- Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment.
- Excellent interpersonal, communication, writing, and presentation skills.
- Demonstrated ability to convey complex information in a clear and concise manner.
