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 leadership to the team to advance the machine learning engineering practice within the organization. location: HOUSTON, Texas job type: Permanent salary: $120,000 - 150,000 per year work hours: 8am to 4pm education: Bachelors responsibilities: 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 qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors skills: Machine LearningMachine LearningMachine LearningPython (5 years of experience is required) 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 HRsupport@randstadusa.com. 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). This posting is open for thirty (30) days.