Remote Contract ML Engineer: DL, NLP & CV

BaseForce; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

BaseForce in Los Angeles is seeking a skilled Machine Learning Engineer for a contract role to design, develop and deploy ML models. You will work across the full lifecycle from data preprocessing to production deployment, collaborating with cross-functional teams to translate business needs into technical requirements.

You will apply deep learning, NLP, and computer vision techniques using Python, R or Java with TensorFlow or PyTorch, and you will monitor and iteratively improve model

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or a related field.
• Minimum 3 years of experience as a Machine Learning Engineer or similar role.
• Strong programming skills in Python, R, or Java with ML libraries.
• Solid understanding of statistical concepts and ML algorithms.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving and communication skills.

Responsibilities

• Design and develop ML models to solve business problems.
• Preprocess data and prepare datasets for training.
• Collaborate with cross-functional teams to translate business needs.
• Apply deep learning, NLP, and CV techniques to build predictors.
• Test, validate and deploy models into production.
• Monitor model performance and improve accuracy through experimentation.
• Stay current with ML advances and apply them to solutions.

Skills

Python

R

Java

TensorFlow

PyTorch

Data Analysis

Data Visualization

Education

Bachelor's degree in Computer Science, Mathematics, or related field

Master's degree or PhD is a plus

Tools

Tableau

Power BI

Job description

BaseForce in Los Angeles is seeking a skilled Machine Learning Engineer for a contract role to design, develop and deploy ML models. You will work across the full lifecycle from data preprocessing to production deployment, collaborating with cross-functional teams to translate business needs into technical requirements.

You will apply deep learning, NLP, and computer vision techniques using Python, R or Java with TensorFlow or PyTorch, and you will monitor and iteratively improve model