As a Machine Learning Engineer at our cutting-edge technology company in Los Angeles, you will be responsible for developing and implementing machine learning algorithms to improve our products and services. You will work closely with our team of data scientists and software engineers to gather data, build models, and deploy solutions that drive business growth.
Responsibilities
- Develop and implement machine learning algorithms for predictive modeling, fraud detection, recommendation systems, and more.
- Collaborate with cross‑functional teams to gather data from various sources and ensure data accuracy.
- Train, test, and validate models using statistical techniques and machine learning frameworks.
- Optimize models for performance, scalability, and efficiency.
- Deploy models into production environments.
- Continuously monitor model performance and make necessary improvements.
- Stay up-to-date with the latest advancements in machine learning technology.
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 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.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with cloud computing platforms; AWS preferred.
- Familiarity with big data technologies such as Hadoop and Spark is a plus.
- Excellent problem‑solving skills and ability to work independently.
Benefits
- Competitive salary of $1,200 per month.
- Flexible working hours.
- Opportunity to work on cutting‑edge projects.
- Collaborative team environment.
- Career growth opportunities.
This job is open to all nationalities. Please note that English proficiency is required.
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