Machine Learning Engineer

About the job

My firm has been exclusively retained by a global and cutting edge IT client focused on Connected Solutions and IoT in the Automotive Sector. Specifically, I am looking for an experienced ML engineer with hands-on experience building ML models with experience with MS Azure, Salesforce and/or AWS. With regards to AWS, I am looking for experience with AWS Sagemaker and AWS Comprehend. Certifications with any of these tools are very helpful, especially AWS. You must have experience with end-to-end ML pipelines and deployment of ML models. This is a remote position and US Citizenship is easier for hire, but my client will sponsor foreign candidates but they must have solid English communication skills. Base compensation is above market and full benefits are offered.

 

Responsibilities:

  • Regularly communicate and interact with OEM clients in the automotive industry to solve their connected vehicles and data challenges
  • Manipulate and manage data to draw insights using statistical computer languages (SQL, R, Python, etc.) from large data sets
  • Product development using strong problem solving skills
  • Knowledge of a variety of machine learning techniques (XGBoost, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Familiarity with the following software/tools: Trees, XGBoost, text mining, GLM/Regression, Random Forest, and Boosting
  • Query databases and use statistical computer languages

 

Qualifications

  • Bachelor’s Degree in Information Systems or related field
  • Minimum 5+ years of experience as a Scrum Master in an IT or Software Development setting
  • Analytical and problem solving skills that are strong with a high attention to detail
  • Experience working with a team in an agile environment
  • Experience working with an agile methodology on large scale, technically complex projects
  • Strong written and verbal communication skills

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