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Empleos de senior full stack engineer

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50+ empleos

Job Post Details

Machine Learning Engineer (Senior/Lead) ID32754

AgileEngine
4.8 de 5 estrellas
Bogotá, Cundinamarca

Información del empleo

Tipo de empleo

  • Tiempo completo

Ubicación

Bogotá, Cundinamarca

Descripción completa del empleo

What you will do

  • Ingest, structure, and analyze a wide range of unstructured data sources;
  • Design, maintain, and orchestrate data pipelines in an AWS environment for production processing and training flows;
  • Continuously evaluate, analyze, test, and improve the quality, privacy, and performance of our data systems;
  • Contribute across the product, — from front-end UX and product design to API/systems architecture and ML processing/training.

Must haves

  • 5+ years of experience ingesting, analyzing, and structuring a wide variety of data sources;
  • Significant experience building and maintaining data pipelines in a production environment;
  • Strong experience with databases/SQL, Python, and Pandas (or equivalent);
  • Prior experience working in fast-paced environments and tackling problems across the stack with quick iterations while maintaining a high-quality bar;
  • Upper-Intermediate English level.

Nice to haves

  • Experience within the healthcare domain is a plus;
  • Extensive production experience with AWS, containers, and/or data orchestration;
  • MLE Experience – PyTorch, scikit-learn, etc.;
  • Full-stack development experience (JS/TS/Node in particular);
  • Demonstrated experience in similar roles in a startup or consultancy.

The benefits of joining us

  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.

Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process.

Job Type: Full-time

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