Machine Learning Engineer

RetailHub Sourcing; Los Angeles (CA); On-site; USD 16,000 - 19,000; Part time

Job summary

RetailHub Sourcing in Los Angeles is seeking a Machine Learning Engineer to develop, test, and deploy ML models that solve real business problems. You will work closely with data scientists and software engineers to design scalable, production-ready solutions.

The role requires 3+ years in machine learning or related fields, strong programming skills in Python/Java/C++, and experience with TensorFlow or PyTorch.

Qualifications

• Bachelor's or Master's degree in CS, Math, or related field.
• At least 3 years of ML engineering experience.
• Proficient in Python, Java, or C++.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Strong data structures and algorithms knowledge.
• Able to work independently and in a team.

Responsibilities

• Develop, test, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to understand business requirements and develop solutions.
• Research and implement new machine learning techniques and frameworks.
• Optimize existing models for performance and scalability.
• Analyze large datasets to extract insights and patterns.
• Communicate results effectively to both technical and non-technical stakeholders.

Skills

Python

Java

C++

TensorFlow

PyTorch

scikit-learn

Data structures & algorithms

Problem solving

Teamwork

Education

Bachelor's or Master's degree in CS/Math or related field

Tools

AWS

Azure

Hadoop

Spark

Job description

Machine Learning Engineer

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Los Angeles. In this role, you will be responsible for developing and implementing machine learning algorithms and models to solve complex problems. You will work closely with data scientists, software engineers, and other team members to design and deploy scalable solutions.

• Develop, test, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to understand business requirements and develop solutions.
• Research and implement new machine learning techniques and frameworks.
• Optimize existing models for performance and scalability.
• Analyze large datasets to extract insights and patterns.
• Communicate results effectively to both technical and non-technical stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Minimum of 3 years of experience in machine learning engineering or related roles.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of data structures and algorithms.
• Excellent problem-solving skills.
• Ability to work independently as well as collaboratively in a team environment.

Preferred Qualifications

• Experience with cloud computing platforms such as AWS or Azure.
• Knowledge of deep learning techniques for computer vision or natural language processing.
• Experience with big data technologies such as Hadoop or Spark.

This is a contract job with a competitive salary of $1600 per month. Biometric passport is required for this position. We welcome students who have the necessary skills and experience. English proficiency is not required but preferred. If you are passionate about machine learning and want to take on challenging projects in a dynamic environment, we would love to hear from you!