AI & Machine Learning Machine Learning Engineer

Hire vetted senior Machine Learning Engineers for your team

Cloud Description

This TalentCloud requires expertise in creating pipelines for obtaining, storing, and processing data as well as building, testing, and deploying machine learning models. ML engineers should be experts in the A to Z of data science projects including data sourcing, web scraping, ETL, model development, model testing, and deployment in production environments. 

Required Skills

  • Proficient in server software such as Python, Java, REST, SQL, NoSQL, and Ruby
  • Expert in machine learning models 
  • Hands-on DevOps Experience 
  • Experience with supporting data science development environments 
  • Have a solid understanding of development and deployment standards 
  • Ability to work in a complex environment that involves liaison with multiple teams
  • Experience with Scrum framework
  • Experience with Big Data platforms such as Spark and Hadoop, HBase, Pig, Hive, MapReduce, Spark, and Sqoop
  • Experience with cloud platforms such as Google Cloud Platform, AWS, and Azure
  • Comfortable working independently
  • Familiarity with version control, especially Git/GitHub
  • Experience with building APIs
  • Experience with Containers

Preferred Skills 

  • Graduate degree in Computer Science/ engineering or a related field
  • 5+ years of experience working as an ML engineer
  • Experience with NodeJS and Django
  • Experience with Keras, PyTorch, and TensorFlow 
  • Experience with data and model pipelines

Are you an Expert in this field?

If you possess proficiency in any of the skills in this field, you can apply to this TalentCloud. Once you have been approved to join this Cloud, you will be able to access exclusive contract opportunities from our clients.