Explore Top ML/DevOps Engineers

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In last 30 days

1373

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Explore by Expertise

  • Experience

    9 years

  • Bio

    I specialized in Deep Learning and Artificial Intelligence. Throughout my experience as a researcher, lecturer, and consultant I have built solid analytic skills and expertise in Data Science and ML Engineering.
  • Skills

    PythonAI AutomationAI SecurityDeep LearningMachine LearningAmazon SageMaker PyTorchMLOps
Cesar B.
ML/DevOpsCesar B.
  • Mexico City
  • Mexico
  • Experience

    9 years

  • Bio

    I have 8+ years of experience in Computer Vision and Machine Learning. My focus is on image classification and object detection, using various technologies such as Numpy, Pandas, Scikit-learn, Tensorflow, OpenCV, Docker, and AWS. I also have a background in software development.
  • Skills

    PythonAI Decision-MakingAI OptimizationGPT-4LLaMAMachine LearningAmazon Web Services (AWS)AngularApache SparkTableau
German O.
ML/DevOpsGerman O.
  • Guadalajara
  • Mexico
  • Experience

    7 years

  • Bio

    Full-Stack Machine Learning Engineer and Advanced Analytics specialist with over 7 years of experience in mathematical and statistical modeling, I specialize in end-to-end implementation of AI solutions to enable data-driven strategies.
  • Skills

    JavaPythonAWSSQL ServerMachine LearningBig DataBigQuery Data Transfer ServiceData Science Virtual MachinesApache SparkTensorFlow

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    Bound to one team and employer.

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Freelancers

  • Transaction-Oriented

    Focuses on time and the projects.

  • Solo Operators

    Lacks team synergy, no shared goals.

  • Split Commitments

    Works with multiple clients at a time.

  • Individual Priorities

    Puts independence before team fit.

  • On Their Own

    High risk and solo without a safety net.