Match Made Tech
Senior Machine Learning/ AI Engineer- (Hybrid- Greenfield Opportunity))
Match Made Tech, Los Angeles, California, United States, 90079
Job Title:
Senior AI / Machine Learning Engineer
SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER
LOCATION:
Irvine, CA (onsite). Monday throughThursday onsite, Fridays remote.
COMPENSATION:
$75-95 an hour. This is a 2-year contract that will convert to full-time.
About Us
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 , we're seeking an
exceptional AI/ML Engineer
to help design and deliver production-grade machine learning models from the ground up.
Position Overview
As an
AI/ML Engineer , you'll play a
pivotal role
in shaping this high-priority AI initiative. You will design, build, and deploy models in collaboration with data scientists, engineers, and domain experts-helping to create solutions that will operate at scale across a global workforce
Responsibilities Model Development Collaborate with data scientists to define objectives and requirements. Design, develop, and train ML 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 ML 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. Qualifications
Bachelor's or Master's in Computer Science, Machine Learning, or related field. 3+ years of proven experience developing and deploying ML models. Strong programming skills in
Python . Proficiency in
TensorFlow, PyTorch, or scikit-learn . Experience with
data preprocessing, pipelines, and feature engineering . Familiarity with
AWS , containerization (Docker, Kubernetes). Strong problem-solving and analytical mindset. Excellent communication and collaboration skills. Experience with LLM's
Why Join Us
Greenfield opportunity
- build from the ground up, no legacy systems. Impact solutions at
global scale . Work alongside a
talented, diverse team
in a fast-paced environment. Competitive pay with clear
path to full-time conversion . Professional growth and advancement opportunities.
Senior AI / Machine Learning Engineer
SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER
LOCATION:
Irvine, CA (onsite). Monday throughThursday onsite, Fridays remote.
COMPENSATION:
$75-95 an hour. This is a 2-year contract that will convert to full-time.
About Us
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 , we're seeking an
exceptional AI/ML Engineer
to help design and deliver production-grade machine learning models from the ground up.
Position Overview
As an
AI/ML Engineer , you'll play a
pivotal role
in shaping this high-priority AI initiative. You will design, build, and deploy models in collaboration with data scientists, engineers, and domain experts-helping to create solutions that will operate at scale across a global workforce
Responsibilities Model Development Collaborate with data scientists to define objectives and requirements. Design, develop, and train ML 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 ML 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. Qualifications
Bachelor's or Master's in Computer Science, Machine Learning, or related field. 3+ years of proven experience developing and deploying ML models. Strong programming skills in
Python . Proficiency in
TensorFlow, PyTorch, or scikit-learn . Experience with
data preprocessing, pipelines, and feature engineering . Familiarity with
AWS , containerization (Docker, Kubernetes). Strong problem-solving and analytical mindset. Excellent communication and collaboration skills. Experience with LLM's
Why Join Us
Greenfield opportunity
- build from the ground up, no legacy systems. Impact solutions at
global scale . Work alongside a
talented, diverse team
in a fast-paced environment. Competitive pay with clear
path to full-time conversion . Professional growth and advancement opportunities.