Senior Recruitment Consultant - Data Science (Phoenix) at Harnham
MACHINE LEARNING ENGINEER
REMOTE IN THE UNITED STATES
SALARY: $140,000 - $160,000 BASE + BONUS
Are you passionate about using data to drive innovation? Do you have end-to-end ML modeling experience and communicate technical concepts to non-technical stakeholders? This Machine Learning Engineer role might be for you. You will work with cross-functional teams to develop and deploy machine learning models, solving complex problems and generating actionable insights.
The Company:
This advertising technology company is a leader in the commerce and media space who utilizes AI to help enhance user experience and drive revenue growth for their clients.
Key Responsibilities:
Collaborate with data scientists, engineers, and stakeholders to create machine learning solutions.
Design, develop, and implement models for recommendation systems, NLP, and predictive analytics.
Preprocess and analyze data to optimize model development.
Deploy models to production, ensuring scalability and reliability.
Monitor and maintain model performance in production.
Stay updated with the latest machine learning technologies and methodologies.
Qualifications:
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's or Ph.D. preferred.
4+ years of experience in machine learning engineering.
Proficiency in Python, GoLang, Perl, and familiarity with TensorFlow, Airflow, Databricks, AWS, and Docker.
3+ years of AdTech experience and building ML models on real-time bidding (RTB)
Experience with data preprocessing, feature engineering, and model evaluation.
Knowledge of cloud platforms and containerization
Strong problem-solving, communication, and collaboration skills.
How to Apply:
If you think you can be a fit for this position, apply to this role or email Emma Spagnola at emmaspagnola@harnham.com
Seniority level
Associate
Employment type
Full-time
Job function
Analyst, Research, and Engineering
Industries
Advertising Services, Marketing Services, and Technology, Information and Media
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