Machine Learning Engineer

Jing Hau; California; On-site; USD 12,000 - 15,000; Part time

Benefits offered by this job

On-site in Los Angeles

Potential for full-time

Job summary

Jing Hau in Los Angeles, CA, is seeking a part-time Machine Learning Engineer to design and deploy ML models on real datasets. You will collaborate with data scientists and software engineers, implement algorithms in Python or R, and apply TensorFlow or PyTorch to solve business problems on-site.

The role emphasizes practical problem solving, independence, and clear communication. It offers a flexible schedule within a part-time on-site framework with the potential to grow into a full-time

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Minimum of 2 years of experience working with machine learning algorithms and techniques.
• Proficient in programming languages such as Python or R.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong problem-solving skills and ability to work independently.
• Excellent communication skills and ability to work well in a team environment.
• Ability to work part-time in Los Angeles without accommodation.
• Must have a valid visa and be able to travel on short notice if necessary.

Responsibilities

• Designing, developing, testing, and deploying machine learning models and algorithms.
• Collaborating with data scientists and software engineers to identify business problems that can be solved using machine learning techniques.
• Analyzing large datasets using advanced statistical methods.
• Improving existing models through continuous testing and optimization.
• Staying up-to-date with the latest advancements in machine learning and implementing them into our solutions.
• Communicating findings and recommendations to team members and stakeholders.

Skills

Python

R

Problem solving

Communication

Independent work

Education

Bachelor's degree in CS/Math/Stats

Tools

TensorFlow

PyTorch

Job description

Machine Learning Engineer

As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to analyze large datasets. You will work closely with data scientists, software engineers, and other team members to design and implement solutions that utilize machine learning techniques. This role requires a strong understanding of programming languages such as Python or R, as well as experience with machine learning frameworks such as TensorFlow or PyTorch. Strong problem-solving skills and an ability to work independently are also essential for success in this role.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
• Minimum of 2 years of experience working with machine learning algorithms and techniques
• Proficient in programming languages such as Python or R
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Strong problem-solving skills and ability to work independently
• Excellent communication skills and ability to work well in a team environment
• Ability to work part-time in Los Angeles without accommodation
• Must have a valid visa and be able to travel on short notice if necessary

Salary: $1200 per month (part-time)

Location: Los Angeles, USA (must be able to work on-site)

We are seeking a highly motivated Machine Learning Engineer with a passion for data analysis and problem-solving. This is an excellent opportunity for someone who is looking to gain experience in the field of machine learning while working on exciting projects with a dynamic team.

Responsibilities

• Designing, developing, testing, and deploying machine learning models and algorithms
• Collaborating with data scientists and software engineers to identify business problems that can be solved using machine learning techniques
• Analyzing large datasets using advanced statistical methods
• Improving existing models through continuous testing and optimization
• Staying up-to-date with the latest advancements in machine learning and implementing them into our solutions
• Communicating findings and recommendations to team members and stakeholders

We offer a competitive salary, flexible work hours, and the opportunity to work on cutting-edge projects in a collaborative and supportive environment. This is a part-time position with the potential for full-time employment in the future.