ML Engineer

1 month ago


Sany, India Zerozilla Full time
Role Description:Our Data Science Team is looking for an exceptionalexperienced Senior Machine Learning Engineer to help lead thedesign and implementation of next generation systems to help endusers discover iterate and execute their plans. Our team is focusedon recommendation personalization explanation and enhanced userinteraction across multiple business verticals. As a MachineLearning Engineer working in this space you will have theopportunity to apply your modeling and engineering skills to anumber of different areas with a particular focus onrecommendations generative AI NLP and system design. Roles &Responsibilities:
  • Seekout new opportunities to apply data science and machine learning tothe business (e.g. personalized recommendations NLP customermodeling) across all channels (e.g. Web email paidmarketing)
  • Work with other teams in solvingproblems and identifying opportunities
  • Leadthe design of machine learning models to solve a variety of corebusiness problems in customer acquisition retention andreactivation
  • Automate ETL pipelines
  • Prototype evaluate deploy and maintain new models inproduction
  • Design AB tests and analyze theirresults
  • Discover new ways to analyze andinterpret the data
  • Communicate progress andinterpretation of experimental results to technical and businessstakeholders
  • Lead the determination of nextsteps for each project.
External SkillsAnd Expertise Must have Skills:
  • NLP
  • Machinelearning
  • Statistics
  • Datastructures & algorithms
  • Python
  • SQL
  • Bigdata(Snowflake/Spark)
Good to Have:
  • LLMs such as Chatgpt Llama & PaLM etc.
  • Experience with Online businesses
  • Experience with Recommender Systems
  • ETL
Internal Description Role Description:Our Data Science Team is looking for an exceptionalexperienced Senior Machine Learning Engineer to help lead thedesign and implementation of next generation systems to help endusers discover iterate and execute their plans. Our team is focusedon recommendation personalization explanation and enhanced userinteraction across multiple business verticals. As a MachineLearning Engineer working in this space you will have theopportunity to apply your modeling and engineering skills to anumber of different areas with a particular focus onrecommendations generative AI NLP and system design. Roles &Responsibilities:
  • Seekout new opportunities to apply data science and machine learning tothe business (e.g. personalized recommendations NLP customermodeling) across all channels (e.g. Web email paidmarketing)
  • Work with other teams in solvingproblems and identifying opportunities
  • Leadthe design of machine learning models to solve a variety of corebusiness problems in customer acquisition retention andreactivation
  • Automate ETL pipelines
  • Prototype evaluate deploy and maintain new models inproduction
  • Design AB tests and analyze theirresults
  • Discover new ways to analyze andinterpret the data
  • Communicate progress andinterpretation of experimental results to technical and businessstakeholders
  • Lead the determination of nextsteps for each project.
Internal SkillsAnd Expertise Must have Skills:
  • NLP
  • Machinelearning
  • Statistics
  • Datastructures & algorithms
  • Python
  • SQL
  • Bigdata(Snowflake/Spark)
Good to Have:
  • LLMs such as Chatgpt Llama & PaLM etc.
  • Experience with Online businesses
  • Experience with Recommender Systems
  • ETL

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