Machine Learning Engineer

Responsibilities:

• Identify, extract/scrape, verify suitable data from different sources.
• Conduct exploratory data analysis (for example, statistical analysis/segmentation, anomaly detection, assumption testing)
• Conduct A/B test and report out A/B test data
• Present models or data results to different groups of stakeholders with data visualizations.
• Creates proofs of concept. Deploy models to production. Track model behavior and make adjustments to model parameters depending on scale and trending.
• Build learning systems to analyze continuous data flows and offline data.
• Train and scale algorithms to apply models to new data sets.
• Combine data features to determine search models.
• Work on eCommerce search-related data science projects.
• Work on building relevance evaluation tools.

Qualifications:

• BA/BS Degree required (MS preferred).
• Industry or research project experience in data science preferably in search or eCommerce.
• Strong computer science fundamentals with proven problem-solving skills.
• Experience working with large data sets in big data environments 
• Proficiency in Python/Spark, SQL, Java, Kubeflow, Jupyter, GCP, etc.
• Familiar with model assessment and validation
• Understanding of dockers/containers, cloud architecture, servers, model formats to store and serve model via batch processing or real-time.