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Tier-1 brand, popular ML role, mid-level experience and broad skillset drive high competition.
Core ML engineering skills transfer across industries, though media domain knowledge gives moderate advantage.
Explicit 2–5 years plus mandatory ML, model deployment, and data pipeline skills increase screening strictness.
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Implement, train, and deploy machine learning algorithms and models for company products.
Design and develop data pipelines including data ingestion, validation, cleaning, and monitoring.
Evaluate ML solutions, conduct case studies, design proof of concept strategies, and contribute to research and patent innovation.
Bachelor's Degree preferred; equivalent combination of coursework and experience considered.
2 to 5 years of relevant work experience in machine learning or related field.
Must be able to work nights, weekends, and variable schedules as required.
Work Experience Required: 2-5 years.
Experienced in practical ML model deployment and production-level pipeline design.
Able to exercise independent judgment on significant technical decisions related to ML solutions.
Proven ability to contribute to research, documentation, and intellectual property in ML applications.