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Staff Machine Learning Engineer

2 months ago

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Job Title: Staff Machine Learning Engineer

At Home Depot, we are seeking a highly skilled Staff Machine Learning Engineer to join our team. As a key member of our product team, you will be responsible for designing, developing, and deploying machine learning models that drive business value and improve customer experiences.

Key Responsibilities:
  • Collaborate with cross-functional teams to identify business opportunities and develop machine learning solutions that meet business needs.
  • Design, develop, and deploy machine learning models using various algorithms and techniques, including clustering, forecasting, anomaly detection, and neural networks.
  • Work with data engineers to design and implement data pipelines that feed machine learning models.
  • Develop and maintain machine learning models in production, ensuring high availability, scalability, and performance.
  • Collaborate with product managers to define product requirements and develop machine learning solutions that meet those requirements.
  • Stay up-to-date with the latest advancements in machine learning and AI, and apply that knowledge to improve our products and services.
Requirements:
  • 3-6 years of experience in machine learning engineering, with a strong background in algorithms and data structures.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with data engineering tools such as Apache Beam, Apache Spark, or AWS Glue.
  • Strong understanding of software development principles and practices, including Agile development methodologies.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Strong problem-solving skills, with the ability to analyze complex problems and develop effective solutions.
Preferred Qualifications:
  • Experience with cloud-based machine learning platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
  • Experience with containerization using Docker or Kubernetes.
  • Experience with DevOps practices and tools such as Jenkins, GitLab CI/CD, or CircleCI.
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and talented machine learning engineer looking for a new challenge, please submit your application.