Machine Learning Engineer

PremieraerospaceSt. Louis, MO
2h

About The Position

As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to improve our aerospace products and services. You will work closely with a team of engineers and data scientists to analyze large datasets, identify patterns and trends, and develop predictive models to enhance our products and services.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • 2+ years of experience in machine learning, data science, or a related field
  • Strong programming skills in languages such as Python, R, or Java
  • Experience with machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch
  • Proficiency in data manipulation and analysis using SQL and other tools
  • Knowledge of data visualization techniques and tools
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
  • Excellent problem-solving and analytical skills
  • Strong communication and teamwork abilities
  • Ability to work independently and manage multiple projects simultaneously

Responsibilities

  • Develop and implement machine learning algorithms and models to improve our aerospace products and services
  • Work closely with a team of engineers and data scientists to analyze large datasets and identify patterns and trends
  • Collaborate with cross-functional teams to understand business needs and translate them into technical requirements
  • Design, build, and deploy scalable machine learning solutions
  • Monitor and maintain the performance of machine learning models and make necessary adjustments
  • Stay up-to-date with the latest advancements in machine learning and incorporate them into our products and services
  • Communicate complex technical concepts to non-technical stakeholders
  • Participate in code reviews and provide constructive feedback to improve the overall quality of the codebase
  • Contribute to the development of best practices and standards for machine learning at Premieraerospace
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