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PureLogics

Senior Machine Learning Engineer

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

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

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
Apply on Himalayas ↗

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