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π§ Internship
π Technology
- MS, or PhD in computer science or equivalent quantitative fields.
- 1+ year experience (previous internships or full-time) as ML Scientist; preferably, with hands-on experience building Deep Neural Networks.
- A strong academic background in both machine learning (PhD preferred) and software development.
- Proficient programming skills in at least one high-level programming language like Python/R/Scala.
- Experience with distributed computing (Spark) is preferred.
- 2+ yearsβ experience of working with live data (data cleaning, data visualization and modeling) is a plus.
- Demonstration of collaboration and teamwork.
- Clear documentation, and communication skills, especially to business stakeholders.
- Articulate and understand business problems, identify challenges, formulate them as Machine Learning or Generative AI problems, and provide/prototype solutions.
- Provide technical assistance to identify and understand key business challenges and opportunities; develop end-to-end software solutions using ML or Gen AI.
- Collaborate extensively with internal partners, program management, and engineering teams to ensure that solutions meet business needs, permit valid inferences and have functional feasibility.
- Collect and process large volumes of data.
- Communicate results in a comprehensible manner to all levels of the company.
- Brainstorm and collaborate with other team members.
PythonSoftware DevelopmentMachine LearningCommunication SkillsCollaborationDocumentation
Posted 2024-11-07
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