Machine Learning Engineer

  • Full Time
  • Detroit, MI, USA
  • Job Location Type: In Office Full Time
  • Full Time
  • Detroit, MI, USA
  • Job Location Type: In Office Full Time

Global Manufacturer

Machine Learning Engineer Detroit MI

Are you passionate about leveraging cutting-edge technologies to build innovative machine learning solutions? Do you have a strong background in machine learning algorithms, cloud platforms, and big data processing? If so, we have an exciting opportunity for you to join our team as a Machine Learning Engineer.

Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models and applications.
  • Implement scalable and efficient machine learning algorithms, pipelines, and workflows.
  • Conduct data preprocessing, feature engineering, and selection to optimize model performance.
  • Collaborate with data engineers to ensure seamless data integration and availability for machine learning tasks.
  • Deploy machine learning models using containerization technologies like Kubernetes.
  • Utilize cloud platforms, especially AWS, for building and deploying machine learning solutions.
  • Leverage Apache Spark with Scala to process and analyze large-scale datasets.
    Monitor and evaluate model performance, and iterate on improvements.
  • Stay up-to-date with the latest advancements in machine learning, cloud technologies, and big data processing.

Preferred Qualifications:

  • Certified Kubernetes Application Developer
  • AWS Certified Machine Learning – Specialty
  • Apache Spark with Scala
  • Experience with Scala, a programming language that integrates well with Spark, is an added advantage.

Qualifications:

  • Strong programming skills in languages such as Python, Scala, or Java.
  • Experience in designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in working with large-scale datasets and implementing data processing techniques.
  • Knowledge of cloud platforms, especially AWS services for machine learning, such as SageMaker, S3, EC2, and Lambda.
  • Familiarity with containerization technologies like Docker and Kubernetes.

We look forward to reviewing your application and discussing how you can contribute to our team’s success in developing cutting-edge machine learning solutions.  All qualified applicants will receive consideration for employment without discrimination.

Base Salary Max:: 132000

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Before applying for this position you need to submit your online resume. Click the button below to continue.

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Global Manufacturer

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