Our client in the Streaming Media Industry is looking to add a Sr. Machine Learning Engineer to their team. The ML Engineer will help build and maintain frameworks to model, evaluate, and deploy Client models.

Requirements:

• 5-10 years industry experience working on statistical analysis and supervised machine learning methods
• Part of a team building consumer-facing products at scale, including deployment and monitoring
• Proficient in at least one of the following languages – Python, R, Scala.
• Exposure to Client libraries such as sklearn, lightgbm, xgboost, randomforest,e1071, dpylr, caret and mice.
• Experience with SQL (e.g. postgres, snowflake, etc)
• Familiar with Classification, Clustering, Regression and basic Client techniques
• Exposure to NLP libraries such as spaCy,nltk, gensim, tm, quanteda
• Experienced in handling complex data sets and productizing machine learning algorithms
• High volume streaming is important

 

Responsibilities:

• Collaborate with product managers, data scientists and other engineers
• Work on the recommendation engine, NLP and clustering algorithms
• Develop pipelines and tools to automate model deployment
• Collaborate with your team on architecture & implementation
• Using statistical analysis to make recommendations and drive product feature development