Mid Data Scientist / Machine Learning Engineer

  • Closed
  • US Company | Small (11-50 employees)
  • LATAM (100% remote)
  • 3+ years
  • Part-time (20h)
  • Venture Capital
  • Full Remote

Required skills

  • Python
  • AWS
  • SQL
  • PostgreSQL
  • PyTorch
  • LLM
  • NumPy
  • Scrape

Requirements

Must-haves

  • 3+ years of software development experience
  • Strong experience in Data Science, Machine Learning, and AI technologies
  • Experience with data visualization tools and creating clean product experiences
  • Proficiency with large language models (LLMs)
  • Ability to work with data extraction and API integrations, particularly with LinkedIn data
  • Familiarity with building custom AI solutions
  • Strong analytical skills and attention to detail, with a problem-solving mindset
  • Strong communication skills in both spoken and written English
  • Bachelor's or Master’s Degree in Data Science, Computer Science, or equivalent

Nice-to-haves

  • Startup experience
  • Experience in a venture capital or finance environment
  • Experience with cloud platforms and big data technologies
  • Familiarity with natural language processing (NLP) techniques

What you will work on

This is a part-time role (20 hours / week) for a 3-6-month contract.

  • Develop AI-driven products that analyze and extract insights from various data sources (e.g. expert call transcripts and internal meeting notes)
  • Design and implement data ingestion pipelines to process large volumes of information
  • Create custom models and interfaces to enhance data accessibility and usability
  • Include custom GPTs when needed
  • Analyze and wrangle data from diverse sources while navigating API challenges
  • Evaluate and implement new machine learning algorithms and data processing techniques
  • Collaborate with internal teams to understand business needs and translate them into technical requirements

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