Demo

Machine Learning Specialist

Harnham
New York, NY Full Time
POSTED ON 1/16/2025
AVAILABLE BEFORE 4/12/2025

Role Type : Machine Learning Specialist

Reporting to : Director of Data Science (role we are currently recruiting for #174682)

Location : Hybrid (New York, Fort Worth, Ann Arbor), OR remote

Travel Expectation : at least 4x a year to visit with teams

Time zone : flexible - team works across multiple time zones

Salary : $190 -$215 base 5%-10% bonus

We are looking for a talented Machine Learning Specialist to join our innovative team and contribute to meaningful projects that make an impact. In this role, you will leverage your expertise to develop and deploy cutting-edge machine learning models while collaborating with diverse teams to tackle complex business challenges head-on.

Key Responsibilities :

  • Design, develop, and implement machine learning models for solutions such as recommendation systems, natural language processing, and predictive analytics.
  • Engage closely with stakeholders to translate business requirements into insightful, data-driven solutions.
  • Collect, preprocess, and analyze data to enhance model performance and accuracy.
  • Continuously monitor and optimize model performance within production environments.
  • Stay updated with the latest advancements in machine learning research and technology.
  • Work collaboratively across teams to turn actionable data insights into strategic business decisions.

Qualifications :

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's / PhD preferred).
  • 3 years of hands-on experience in developing and deploying machine learning models for production.
  • Strong programming proficiency in languages such as Python, Go, or Perl; experience with frameworks like TensorFlow, Docker, AWS, and Databricks is essential.
  • In-depth knowledge and extensive experience in adtech and ad auctioning.
  • Experience in model-based modeling methodologies.
  • Expertise in data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving, communication, and collaboration skills.
  • Nice to Have :

  • Experience utilizing Agile / Scrum methodologies in interdisciplinary teams.
  • Salary : $190 - $215

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