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W2 ONLY - PERM - Machine Learning Engineer

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Insight Global

2021-12-03 08:50:23

Job location Copperas Cove, Texas, United States

Job type: fulltime

Job industry: HR / Recruitment

Job description

Desired Skills and Experience

• 7+ years of programming experience in Python.

• Expertise in testing, packaging, monitoring, and deploying machine learning models.

• Expert knowledge in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control.

• In depth understanding of various ML frameworks, libraries, and packages.

• Experience working with and implementing MLOps principles.

• Experience working with modern data platform technologies including Apache Airflow, Kubernetes, Distributed File Systems, and Massively Parallel Processing (MPP) Databases.



Plusses

• Bachelor's Degree or higher.

• Relevant certifications and/or continuous education.



Day-to-Day

An Insight Global client is currently looking for an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. This company is a midstream oil and gas company headquartered in Downtown Houston. As part 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 data engineering practice within the organization. This person will work directly with business domain experts and Data Scientists to understand the business objective and develop high quality, scalable, machine learning systems; Design and implement frameworks and tools to streamline the machine learning process; and automate manual data tasks to improve efficiency, reliability, and scalability. This person will develop data-intensive applications with API's and streaming data pipelines; create and maintain optimal machine learning pipelines and convert researched based machine learning models into production-ready software. This individual will collect, explore, and prepare data for advanced analytics and machine learning; perform exploratory data analysis and present findings and recommendations and assist data analysts and data scientists with data extraction, feature engineering, query optimization, and data processing.

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