Machine Learning Engineer - Los Angeles - Match Made Tech

    Match Made Tech
    Match Made Tech Los Angeles

    4 days ago

    Description

    Job Title: AI/ML Engineer - Greenfield AI Project

    UNABLE TO OFFER SPONSORSHIP- US CITIZENS & GREEN CARD ONLY

    LOCATION: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote.

    SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER

    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

    #J-18808-Ljbffr

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