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AI Generalist

Posted 2 months agoViewed

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πŸ“ Location: United States, Canada

🏒 Company: Future Works

πŸ—£οΈ Languages: English

πŸͺ„ Skills: PythonSoftware DevelopmentAgileArtificial IntelligenceData AnalysisFrontend DevelopmentGitMachine LearningTypeScriptNext.jsCI/CDRESTful APIsData visualization

Requirements:
  • Deep understanding of core AI concepts, including machine learning, deep learning, neural networks, natural language processing (NLP), and computer vision.
  • Experience with existing and cutting edge AI frameworks and libraries
  • Proficiency in data collection, preprocessing, analysis, and visualization.
  • Understanding of the generative AI landscape and experience implementing retrieval-augmented generation (RAG) search techniques.
  • Strong programming skills in languages commonly used in AI development (Python, TypeScript)
  • Frontend development experience with frameworks like Next.js and ShadCn.
  • Familiarity with software development lifecycle concepts (Agile, Gitflow, CI/CD).
  • Proven ability to deliver production-ready code.
  • Commitment to staying updated with the rapidly evolving AI landscape.
  • Effective utilization of code assistants (e.g., Cursor) to enhance productivity without over-reliance.
  • Broad knowledge of AI tools and technologies, enabling the selection of appropriate solutions for specific challenges.
  • Ability to make informed decisions on building custom solutions versus adopting existing ones, balancing innovation with practicality.
  • Creative mindset with the ability to develop innovative solutions to complex problems.
Responsibilities:
  • Collaborate with cross-functional teams to design, develop and deploy AI solutions that align with business objectives.
  • Conduct research to stay updated on the latest AI trends, ensuring the integration of cutting-edge solutions.
  • Provide technical expertise and guidance to team members and stakeholders, facilitating informed decision-making.
  • Evaluate and integrate AI technologies to enhance operational efficiency and drive innovation.
  • Ensure the successful delivery of AI projects within defined scope, budget, and timelines.
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