job summary: We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence. This individual will provide analytical and technical leade
[
"
Work directly with Business domain experts and Data Scientists to understand business objectives and develop high quality, scalable, machine learning systems
\nDesign and implement frameworks and tools to streamline the machine learning process
\nAutomate manual data tasks to improve efficiency, reliability, and scalability
\nConvert research-based machine learning models into production-ready software
\nProvide solutions to mathematical optimization problems
\nCreate and maintain optimal machine learning pipelines
\nCollect, explore, and prepare data for advanced analytics and machine learning
\nPerform exploratory data analysis and present findings and recommendations
\nResearch and prototype new technologies to advance the machine learning capability
\n
\n\n
5+ years of programming experience in Python
\nExpertise in testing, packaging, and deploying machine learning models
\nExpertise in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
\nExperience in building user interfaces for analytical applications using Python web frameworks such as Dash, Streamlit, and FastAPI
\nKnowledgeable of various machine learning frameworks, libraries, and packages including Scikit-learn, TensorFlow, Keras, and PyTorch
\nKnowledgeable of mathematical optimization frameworks such as Google OR-Tools and SciPy
\nKnowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, Object Storage
\n\n
\n
\n
"
]