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    Machine Learning Engineer-(Media Agency Side) - New York, United States - Search Max, Inc

    Search Max, Inc
    Search Max, Inc New York, United States

    4 weeks ago

    Default job background
    Upper Management / Consulting
    Description

    HYBRID 3X IN OFFICE

    SALARY: $115-120K

    About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission.

    Responsibilities include but are not limited to;

    • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health.
    • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
    • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.
    • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.
    • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs.
    • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.
    • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning and explore innovative approaches to problem-solving.

    Requirements

    • Master's or Ph.D. in a related field with a strong academic background.
    • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.
    • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.
    • Proficiency in data manipulation, feature engineering, and model evaluation.
    • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
    • Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
    • A passion for continuous learning and staying updated with the latest trends and technologies in data science.
    • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.

    Our interview process includes, but is not limited to the following:

    • Cognitive Aptitude, Excel and Typing Test
    • Logic assessment on Excel
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