Machine Learning Engineer

Summit Ridge LLC; Houston (TX); On-site; USD 120,000 - 164,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

401(k) matching

Tuition reimbursement

Professional development

Job summary

Summit Ridge LLC in Houston, TX is hiring a Machine Learning Engineer to develop and deploy ML models for the oil and gas sector. You will collaborate with data scientists and engineers to scale solutions and improve performance.

The role requires a Master's degree in CS/ML, 2+ years of ML experience, and strong Python, TensorFlow, PyTorch skills. AWS and SQL knowledge are a plus; the team values practical, hands-on contributors.

Qualifications

• Master's degree in Computer Science, Machine Learning or a related field.
• 2+ years of experience in machine learning and AI development.
• Proficiency in Python; experience with TensorFlow and PyTorch; SQL and AWS a plus.

Responsibilities

• Develop and implement machine learning models to solve complex problems in the oil and gas sector.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize machine learning algorithms for performance, scalability, and accuracy.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.
• Document and communicate technical findings to stakeholders.

Skills

Python

TensorFlow

PyTorch

SQL

AWS

Education

Master's degree in Computer Science / Machine Learning

Bachelor's degree in Computer Science / Engineering / Mathematics

Job description

Summit Ridge LLC, a leading company in the oil and gas industry, is hiring a Machine Learning Engineer in Houston, TX. This full-time position offers a competitive salary ranging from $120,000 to $164,079 and various benefits.

As a Machine Learning Engineer, you will develop and implement machine learning models to solve complex problems in the oil and gas sector. You will also collaborate with data scientists and engineers to improve existing models and create new ones.

You will be part of a team of data scientists and engineers in our Houston office. The workplace is modern and equipped with the latest technology to support your work.

The annual salary for this position ranges from $120,000 to $164,079, depending on experience and qualifications. Alongside the base salary, employees are entitled to a comprehensive benefits package that includes health insurance, which covers medical, dental, and vision care, as well as life and disability insurance. The company also offers retirement plans, such as a 401(k) with a matching contribution, to help employees save for their future. Additionally, professional development opportunities are available, including tuition reimbursement for further education and access to online courses and workshops. These benefits are designed to support the overall well-being and career growth of the employees.

To be successful in this role, you should have a Master's degree in Computer Science, Machine Learning, or a related field. You should also have experience with Python, TensorFlow, and PyTorch. Familiarity with SQL and cloud platforms like AWS is a plus.

• Develop and implement machine learning models to solve complex problems in the oil and gas sector.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize machine learning algorithms for performance, scalability, and accuracy.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.
• Document and communicate technical findings to stakeholders.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• 2+ years of experience in machine learning and AI development.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical methods and data analysis techniques.