ML Engineer: Build Next‑Gen Models & Growth

PixelWave Studios

Los Angeles (CA)

On-site

USD 12,186 - 14,597

Full time

14 days+

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Benefits offered by this job

Flexible working hours
Opportunity to work on cutting‑edge projects
Collaborative team environment
Career growth opportunities

Job summary

PixelWave Studios in Los Angeles is seeking a skilled Machine Learning Engineer to develop and implement advanced algorithms to enhance projects and services. You will collaborate with data scientists and software engineers to build models and deploy solutions that help drive business growth.

The successful candidate will hold a degree in a relevant field and have a minimum of 3 years of experience. Competitive salary of $1,200 per month and a flexible working environment are offered.

Qualifications

  • Minimum 3 years of experience as a Machine Learning Engineer or similar role.
  • Strong knowledge of machine learning techniques such as regression, clustering, deep learning, etc.
  • Familiarity with big data technologies is a plus.

Responsibilities

  • Develop and implement machine learning algorithms for predictive modeling, fraud detection, recommendation systems.
  • Collaborate with cross‑functional teams to gather data and ensure accuracy.
  • Deploy models into production environments and monitor their performance.

Skills

Machine learning techniques
Programming languages (Python, R, Java)
Statistical analysis
Problem-solving

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics

Tools

AWS
Hadoop
Spark

Job description

PixelWave Studios in Los Angeles is seeking a skilled Machine Learning Engineer to develop and implement advanced algorithms to enhance projects and services. You will collaborate with data scientists and software engineers to build models and deploy solutions that help drive business growth.

The successful candidate will hold a degree in a relevant field and have a minimum of 3 years of experience. Competitive salary of $1,200 per month and a flexible working environment are offered.

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