Senior Machine Learning Engineer
PureLogics · United States
Skills in this posting
The posting
Senior Machine Learning Engineer Location: Texas About the Role We are looking for a Senior Machine Learning Engineer to design, develop, and maintain scalable machine learning models and systems .
You will collaborate closely with data scientists and software engineers to ensure the accuracy, reliability, and efficiency of our machine learning solutions. If youre passionate about cutting-edge AI/ML technologies , wed love to hear from you! Key Responsibilities Design, build, and optimize scalable machine learning models .
Work with data scientists and engineers to improve model accuracy and efficiency . Implement supervised, unsupervised, deep learning, and reinforcement learning techniques. Ensure reliability, scalability, and performance of ML systems. Collaborate with cross-functional teams to integrate ML solutions into production.
Qualifications & Requirements Bachelors or Masters degree in Computer Science, Mathematics, or a related field . 3+ years of experience in machine learning development. Proficiency in supervised and unsupervised learning, deep learning, and reinforcement learning . Strong problem-solving, communication, and collaboration skills.
Ability to work independently and in a team-oriented environment . Why Join Us? Work on cutting-edge AI/ML projects . Opportunity to influence and innovate within a growing team. Remote-friendly and collaborative work culture. Originally posted on Himalayas
The PivotHop read
- What a machine learning engineer actually earnsmedian, seniority, by country
- What machine learning engineers do insteadevery measured route out
- Data Scientist → Machine Learning Engineer54% readiness
- MLOps Engineer → Machine Learning Engineer49% readiness
- All open machine learning engineer rolesthe full board
Where these skills also reach
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- 32 open mlops engineer roles48% readiness from machine learning engineer
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