Senior Machine Learning Engineer


Job Overview

AspenTech is looking for a Sr Machine Learning Engineer to join our growing Asset Performance Management team, building the next generation AI products for IoT and asset optimization.
Your Impact
Contribute to designing, building, evaluating, shipping, and refining Aspen Tech APM products by hands-on ML development
Collaborate with a cross functional agile team spanning data science, product management engineering, and customer facing teams to build new product features that advance our mission of offering Self Optimization Plant solutions.
Prototype new approaches and productionize solutions at scale involving hundreds of millions of data points.
Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
Be part of an active group of machine learning practitioners in Boston APM Team (and across Aspen Technology ) collaborating with one another
What Youll Need
A strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in time-series, prediction and deep learning machine learning algorithms.
Hands-on experience implementing production machine learning systems at scale in Python, Scala or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, XGBoost, Pandas etc is a strong plus
Understanding of ML-Ops is Plus
Interest in agile software processes, data-driven development, reliability, and disciplined experimentation
MS in Computer Science or a related technical major with 5-7 years of experience developing commercial software.
Linux knowledge, development of microservices, Cloud deployment is a plus.
Practical experience with data science algorithms and distributed computing. Knowledge of deep learning is a huge plus.
Excellent interpersonal, communication, and presentation skills.
Demonstrated ability to convey complex information in a clear and concise manner using effective visualizations.
English fluency (written and verbal) required.

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