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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.
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
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, Object Storage
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Applications accepted on ongoing basis until filled.
Full Time
$113k-139k (estimate)
06/21/2024
08/20/2024
The job skills required for Machine Learning Engineer include Python, Software Engineering, Programming, Kubernetes, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.