Ascentt

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI · Senior · Full-time

Sponsorship not specifiedDetected 22 days ago
PythonCloud PlatformsDockerCI/CDMachine LearningDeep LearningTensorFlowPyTorchscikit-learnAirflowData AnalysisData ScienceMLOpsAI OrchestrationStatisticsA/B TestingForecastingCommunicationProblem Solving

About the role

  • We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud environments.

Responsibilities

  • Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and deployment.
  • Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment.
  • Collaborate closely with data engineers, data scientists, and product teams to integrate models with business workflows.

Requirements

  • Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
  • Hands-on experience with PySpark for big data processing and model development.
  • Experience with Amazon SageMaker (or similar cloud-based ML platforms).
  • Strong knowledge of ML Ops practices including version control, model monitoring, and retraining strategies.
  • Excellent communication skills and the ability to clearly explain complex concepts to non-technical stakeholders.

Nice to have

  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
  • Experience with workflow orchestration tools (e.g., Airflow, Kubeflow).
  • Familiarity with containerization (Docker) and CI/CD practices for ML projects is a plus.

Benefits

  • Design, develop, and deploy scalable machine learning models for real-world business problems using structured and unstructured data.
  • Apply a wide range of statistical, machine learning, and deep learning techniques, including but not limited to regression, classification, clustering, time-series forecasting, and NLP.

This listing is sourced directly from Ascentt's careers page and normalized into a canonical job model.