Javen Technologies, Inc

Javen Technologies, Inc

Machine Learning Engineer

New Ulm, Minnesota

Sponsorship not specifiedDetected 29 days ago
PythonJavaGoCode ReviewGitAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDAPI DevelopmentMachine LearningPyTorchscikit-learnPandasSparkAirflowdbtData EngineeringData ScienceLLMsMLOps

About the role

  • You will help bridge the gap between data science and software engineering by implementing automated workflows, managing cloud infrastructure, and ensuring our AI services are secure and scalable.
  • Engineering Best Practices • Code Quality: Write clean, maintainable, and well-documented Python code.

Responsibilities

  • Feature Management: Help build and maintain feature stores and data layers that ensure consistency between training and production environments.

Requirements

  • Bachelor s or Master s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or Google Cloud Platform) and containerization (Docker).
  • Data Tools: Experience with data processing frameworks (like Pandas, Spark, or dbt).
  • Familiarity with deploying Large Language Models (LLMs) or using frameworks like LangChain.
  • Hands-on experience with at least one major cloud provider (AWS, Azure, or Google Cloud Platform) and containerization (Docker).

Nice to have

  • Strong proficiency in Python and familiarity with SQL.
  • Knowledge of a compiled language (like Go or Java) is a plus.
  • Programming: Strong proficiency in Python and familiarity with SQL.

Skills

  • The Impact You ll Make in this Role
  • To set you up for success in this role from day one,
  • Familiarity with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, BentoML, or Kubeflow).
  • Experience with data processing frameworks (like Pandas, Spark, or dbt).

Benefits

  • Implement basic monitoring tools to track model performance, data drift, and system health in production.
  • Pipeline Development: Build and maintain CI/CD pipelines for machine learning, focusing on automated testing, model deployment, and version control (using tools like MLflow or Git).
  • Data Pipelines: Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean, usable datasets for model training and inference.
  • System Integration: Work closely with backend teams to integrate ML outputs into our core healthcare applications.
Apply directly at Javen Technologies, Inc →Create a free account for alerts like thisView Javen Technologies, Inc immigration profile

This listing is sourced directly from Javen Technologies, Inc's careers page and normalized into a canonical job model.