Machine Learning Engineer vacancy in Los-Angeles USA

Machine Learning Engineer - Los Angeles, USA



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 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 (Hadoop, Spark) is a plus
- Excellent problem-solving skills and ability to work independently

Benefits:
- Competitive salary of $1200 per month
- Flexible working hours
- Opportunity to work on cutting-edge projects
- Collaborative team environment
- Career growth opportunities

If you are passionate about utilizing your skills in machine learning to drive innovation and impact business outcomes, then we want you on our team! Apply now to join our dynamic company in Los Angeles. This job is open to all nationalities. Please note that English proficiency is required.