Professional Services III Amz13646.13

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

This role focuses on building and deploying scalable ML/AI solutions within AWS, leveraging Big Data, AppDev, or DevOps experience. It involves close collaboration with Data Scientists and Data Engineers to deliver end-to-end solutions for customers, utilizing ML frameworks, algorithms, and cloud technologies.

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. Expose to modern Machine Learning best practices and delivering AWS solutions in this high-demand field.

Skills

Required

  • Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, or a related field
  • 3 years of experience in the job offered or a related occupation
  • 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)
  • cloud solutions
  • DevOps
  • 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

  • Big Data experience
  • AppDev experience
  • DevOps experience
  • familiarity with modern Machine Learning best practices
  • familiarity with delivering AWS solutions

What the JD emphasized

  • Experience must include: 1) 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
  • Experience with ML algorithms, training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines