Senior Machine Learning/ AI Engineer- (Hybrid- Greenfield Opportunity))
Match Made Tech10 months ago
Los Angeles, CA, United States
Hybrid
Contract
Junior Level (1-3 years)
Job Description
Position Overview
Job Title: Senior AI / Machine Learning Engineer
Sponsorship: NOT AVAILABLE – MUST BE US CITIZEN/ GREEN CARD HOLDER
Location: Irvine, CA (onsite Monday through Thursday, remote Fridays)
Compensation: $75-95 an hour (2-year contract with conversion to full-time)
We are on a mission to develop innovative AI solutions that will revolutionize the way workforces operate. As we embark on a new greenfield AI project, you will play a pivotal role in shaping this high-priority initiative by designing, building, and deploying production-grade machine learning models from the ground up in collaboration with data scientists, engineers, and domain experts.
Key Responsibilities
- Model Development
- Collaborate with data scientists to define objectives and requirements.
- Design, develop, and train machine learning models using state-of-the-art techniques.
- Data Preparation
- Work with large datasets, ensuring quality through preprocessing and transformation.
- Implement pipelines and augmentation methods to support training.
- Deployment & Optimization
- Deploy machine learning models into production with a focus on scalability and performance.
- Conduct experiments, fine-tune algorithms, and optimize hyperparameters.
- Implement monitoring and ongoing maintenance of models.
- Collaboration & Documentation
- Work cross-functionally with engineers, scientists, and domain experts.
- Document processes, best practices, and share insights with the team.
Required Qualifications
- Bachelor’s or Master’s in Computer Science, Machine Learning, or a related field.
- 3+ years of proven experience developing and deploying machine learning models.
- Strong programming skills in Python.
- Proficiency in TensorFlow, PyTorch, or scikit-learn.
- Experience with data preprocessing, pipelines, and feature engineering.
- Familiarity with AWS and containerization technologies (Docker, Kubernetes).
- Strong problem-solving and analytical mindset.
- Excellent communication and collaboration skills.
- Experience with LLM's.
Benefits & Perks
- Greenfield opportunity – build from the ground up with no legacy systems.
- Opportunity to impact solutions at a global scale.
- Work alongside a talented, diverse team in a fast-paced environment.
- Competitive pay with a clear path to full-time conversion.
- Professional growth and advancement opportunities.
Required Skills
LLM
TensorFlow
Artificial Intelligence
Model Deployment
scikit-learn
Collaboration
Machine Learning
PyTorch
Kubernetes
Python
Docker
Data Preprocessing
Feature Engineering
AWS