logo

Pro5.ai

Machine Learning Specialist

Department
Engineering
Job Type / Location
onsite
Experience Required
5+ years
Posted On

Duties & Responsibilities

  • Learn and understand a broad range of data resources and know when, how, and which to use and which not to at any given time.
  • Manipulate and analyze complex, high-volume, high-dimensionality data from various sources using a variety of tools, data analysis techniques, and data science methodology, and use them to identify trends and reach meaningful conclusions.
  • Design data modelling processes to create algorithms and predictive models and perform custom analysis.
  • Design, build, deploy, produce, and operate life cycles of machine learning pipelines.
  • Partner with customers to define and execute the critical insights required to make informed business decisions
  • Be a hands-on technical lead who can own, drive, and develop insights from conception to release
  • Act as a catalyst for insights innovation, aligned to both tactical and strategic business insights efforts
  • Ensuring insights are both actionable and measurable and you should be able to build these insights and hypothesis with awareness of practical implementation and implications for the business
  • Empower and mentor existing employees to further the team’s data science capabilities and capacity

Knowledge, Skills, Abilities

  • Experience with general ML methods and expert in some of the following field:
    • Recommendation Systems
    • Supervised learning and feature engineering
    • Time series and forecasting analysis
    • Clustering
  • Experience with projects of network science
  • Extensive experience with feature engineering
  • Experience of getting insights by overlaying multiple datasets
  • Proficient in a data science language like Python, R, Scala
  • Proficient with machine learning packages like scikit-learn, TensorFlow etc.
  • Experience with Cloud base AI/ML tools and data analytics tools in GCP is preferable
  • Experience with the build, deploy, produce, and operate life cycles of machine learning pipelines.
  • Experience working with large, distributed data sets to derive actionable insight
  • Familiar with Power BI / Google Looker dashboard development
  • Interpersonal communication and ability to leverage the data to tell a story
  • Collaboration and program management skills
  • Logical & systematic, team player, fast learner
  • Familiar with Agile and working in a Scrum Team

View Assessment Process

Think you'll be a good fit?