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ML Engineer (hybrid)
ML Engineer (hybrid)Match Made Tech • Irvine, CA, United States
ML Engineer (hybrid)

ML Engineer (hybrid)

Match Made Tech • Irvine, CA, United States
1 day ago
Job type
  • Full-time
Job description

Job Title : AI / ML Engineer - Greenfield AI Project

LOCATION : Irvine, CA (onsite). Monday through Thursday 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 our workforce. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI / ML Engineer to join our team and lead the development of machine learning models as part of this groundbreaking initiative.

JOB DESCRIPTION : About the Role

We are seeking a skilled AI / ML Engineer to join our team to design, develop, and deploy machine learning models that solve real-world business challenges. You will work cross-functionally with data scientists, engineers, and product teams to bring cutting-edge AI solutions to production, with a strong focus on NLP, supervised learning, experimentation, and optimization.

Key Responsibilities

  • Model Development & Training

Collaborate with data scientists and stakeholders to translate project goals into scalable ML solutions.

  • Design, develop, and train models using state-of-the-art machine learning techniques and tools.
  • Select appropriate annotated datasets and transform raw data into machine learning-ready formats.
  • Data Preparation & Feature Engineering
  • Analyze and process structured / unstructured data for training and evaluation.

  • Develop feature extraction and selection pipelines to improve model performance.
  • Experimentation & Optimization
  • Run controlled experiments and perform statistical analysis to validate models.

  • Refine model hyperparameters and evaluation metrics for optimal performance.
  • Deployment & Integration
  • Work closely with ML Ops to deploy and monitor models in production environments.

  • Ensure all models are integrated seamlessly into existing systems.
  • Collaboration & Code Quality
  • Participate in code reviews, pair programming, and knowledge-sharing sessions.

  • Write testable, production-quality code that aligns with engineering best practices.
  • Qualifications & Skills

  • 3-5 years as an ML / AI Engineer or 1-3 years in an ML / AI leadership role
  • Proven experience building and deploying machine learning models in production
  • Solid understanding of classical ML algorithms (classification, regression, clustering)
  • Experience working with changing datasets and real-time data pipelines
  • Hands-on experience with Python and frameworks like PyTorch, TensorFlow, Scikit-learn
  • Strong knowledge of data processing (ETL), feature engineering, and statistical evaluation
  • Solid understanding of REST APIs, CI / CD, and containerized deployments (Docker, Kubernetes)
  • Strong communication, analytical thinking, and problem-solving skills
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field
  • Preferred Qualifications (Nice-to-Have)

  • Master's or PhD degree in Computer Science, Engineering, or a related field
  • Experience with neural networks and deep learning applications in computer vision, time-series analysis, or reinforcement learning
  • Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Familiarity with version control and experimentation tracking tools
  • Basic knowledge of data governance, security, and compliance standards
  • Create a job alert for this search

    Ml Engineer • Irvine, CA, United States

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