Vaga de parceiro

Machine Learning Engineer - Campinas / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • Best in class cloud technology & micro-services architecture.
  • Use MLOps best practices that include model serving, data & code versioning.
  • As a bonus, you will build new product features from start to finish (e.
  • G.
  • develop & deploy new models served into production systems).
  • You will also have the opportunity to review & influence the engineering design, architecture & technology stack across multiple products, outside your immediate focus.
  • You will work on building code that will deploy into production, using code design & style standards.
  • You will document your thought process & create artifacts on team repo/wiki that can be used to share with business & engineering for sign off.
  • You will review code quality, design developed by your peers.
  • You will significantly improve the performance & reliability of our code that create high quality & reproducible results.
  • You will also develop internal tools/utils that improve productivity of the entire team.
  • You will collaborate with other team members to advance the teams ability to ship high quality code, fast!You should be able to mentor/coach junior team members to continuously upskill them.
  • You will maintain basic developer hygiene that includes but is not limited to writing tests, using loggers, and readme files.
  • What We Are Looking For:Academic degree in, but not limited to, Bachelors or Masters in CS, or any engineering discipline.
  • Beyond academic degrees, we give more weight to 5+ years of real-world experience to develop scalable & high quality software.
  • What We Expect:Proficiency with pandas, numpy, scipy, scikit-learn, statsmodels, tensorflow.
  • Good understanding of statistical computing, parallel processing.
  • Experience with advanced tensorflow distributed, numpy, numba, cudf, cupy, mpi, joblib.
  • Good understanding of memory management & parallel processing in Python.
  • Good understanding of MKL, BLAS, LLVM, Ray.
  • Profiling & optimization of production code.
  • Strong at Python coding.
  • Exposure to working in IDEs such as VSC or PyCharm.
  • Experience in working in Agile environment.
  • Basic understanding of any public cloud, RESTful APIs & containerization.
  • Good foundation in data structures & algorithms.
  • Strong experience in code versioning using Git (or alike), maintaining one modularized code base for multiple deployments, automation using CI/CD pipelines.
  • Proven experience in distributed/cloud-based environment.
  • Experience in internal aspects of run time environments, complex libraries/dependencies, docker containerization.
  • Challenges status quo with an owners mindset of what can break & think of proactively fixing.
  • You have a bias for action & make right trade-offs between engineering design & solving business needs.
  • Behavioral Skills That Matter:You take full ownership of your projects & understand end-to-end expectations.
  • You demonstrate thought leadership at work, assert ideas & influence overall direction of solutions.
  • Collaborate with team members, share selflessly & improve the quality of code, models, etc.
  • Ability to simplify communicating the output of your work for business, create compelling documentation or any artifacts that connect business to the solutions.
  • Portuguese (Must)Spanish (Good to have)#J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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