AI Solutions Engineer

1 week ago


Redmond, Washington, United States People Tech Group Inc Full time

Job Title: ML Engineer

Location: Remote

Job Type: Full-time

Job Overview:

We are seeking a skilled ML Engineer to become a vital part of our forward-thinking organization. The successful candidate will possess a solid background in the development and deployment of machine learning models, along with a comprehensive grasp of the machine learning lifecycle. Your primary responsibility will be to construct and uphold complete ML pipelines, guaranteeing effective and scalable solutions from data collection to model assessment.

Key Responsibilities:

  • Design and sustain comprehensive ML pipelines, which encompass data collection, data processing, model training, model validation, model deployment, and ongoing model assessment.
  • Deploy and oversee machine learning models in operational settings, ensuring they are scalable and dependable.
  • Leverage cloud services, particularly Google Cloud Platform (GCP), to execute and enhance ML solutions.
  • Utilize containerization and orchestration tools such as Docker and Kubernetes for efficient model deployment.
  • Implement task orchestration using platforms like MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, and others.
  • Collaborate with data engineers to integrate and refine data pipelines utilizing tools such as Beam, Spark, Pandas, SQL, Kafka, and GCP Dataflow.
  • Operate in Linux/Unix environments, applying strong skills in testing, troubleshooting, automation, and version control with Git.
  • Manage dependencies and build processes using GCP Cloud Build, Jenkins, GitLab CI/CD, GitHub Actions, and similar technologies.
  • Continuously monitor, assess, and enhance ML models in production to ensure peak performance and accuracy.


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