Professional Services III - Amz13646.11

Amazon Amazon · Big Tech · NY +1 · Corporate Operations

This role focuses on building and deploying reliable, scalable, and high-performance ML/AI solutions, leveraging Big Data, AppDev, or DevOps experience. It involves working closely with Data Scientists and Data Engineers to deliver end-to-end solutions, utilizing ML frameworks, algorithms, and ML pipelines, with a strong emphasis on hosting and deployment of models.

What you'd actually do

  1. Leverage Big Data, AppDev, or DevOps experience and apply it to stateof-the-art technologies in Machine Learning and Artificial Intelligence.
  2. Build software solutions.
  3. Work closely with teams of Data Scientists and Data Engineers.
  4. Collaborate with our Data Scientists to deliver ground-breaking solutions for customers.
  5. Create reliable, scalable, and high-performance ML / Al solutions.

Skills

Required

  • Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, or a related field and 3 years of experience
  • ML algorithms
  • training models
  • hyperparameter tuning
  • distributed model training
  • hosting and deployment of models
  • ML pipelines
  • Data Visualization experience
  • Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2
  • JavaScript frameworks such as D3
  • Python (NumPy, SciPy, Pandas, SciKitlearn, TensorFlow/PyTorch/MXNet)
  • Machine Learning experience: supervised learning (regression)
  • supervised learning (classification)
  • scripting languages (Python, R)
  • database languages (SQL, PL/SQL, PG-PUSQL)
  • version control (GitHub, Bitbucket, AWS Code Commit)
  • data structures
  • algorithms
  • data pipelines
  • distributed computing engines

Nice to have

  • DevOps experience
  • familiarity with cloud solutions

What the JD emphasized

  • 3 years of experience with ML algorithms, training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines (able to whiteboard common components if ML pipelines)

Other signals

  • Build software solutions
  • Work closely with teams of Data Scientists and Data Engineers
  • Create reliable, scalable, and high-performance ML / Al solutions
  • ML frameworks, ML algorithms
  • ML pipelines
  • hosting and deployment of models