Job Title: Analysts, Senior Data Engineering (Machine Learning Engineer)
Job Description
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 leadership to the team to advance the machine learning engineering practice within the organization.
Responsibilities include:
- Work directly with Business domain experts and Data Scientists to understand business objectives and develop high quality, scalable, machine learning systems
- Design and implement frameworks and tools to streamline the machine learning process
- Automate manual data tasks to improve efficiency, reliability, and scalability
- Convert research-based machine learning models into production-ready software
- Provide solutions to mathematical optimization problems
- Create and maintain optimal machine learning pipelines
- Collect, explore, and prepare data for advanced analytics and machine learning
- Perform exploratory data analysis and present findings and recommendations
- Research and prototype new technologies to advance the machine learning capability
Qualifications- The successful candidate will meet the following qualifications:
- 5+ years of programming experience in Python
- Expertise in testing, packaging, and deploying machine learning models
- Expertise in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
- Experience in building user interfaces for analytical applications using Python web frameworks such as Dash, Streamlit, and FastAPI
- Knowledgeable of various machine learning frameworks, libraries, and packages including Scikit-learn, TensorFlow, Keras, and PyTorch
- Knowledgeable of mathematical optimization frameworks such as Google OR-Tools and SciPy
- Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and Object Storage
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