Javen Technologies, Inc

Javen Technologies, Inc

Machine Learning Engineer

New Ulm, Minnesota

Sponsorship not specifiedDetected 121 days ago
PythonJavaGoCode ReviewGitAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDAPI DevelopmentMachine LearningPyTorchscikit-learnPandasSparkAirflowdbtData EngineeringData ScienceLLMsMLOps

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

36% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 6 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: 53rd Bank · BEST BUY · BestBuy IncFiles as an H-1B dependent employer.

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 25 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • We are looking for a practical, detail-oriented engineer who is passionate about MLOps, data reliability, and production stability.
  • 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.

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.

Nice to have

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

Skills

  • To set you up for success in this role from day one,

Benefits

  • As an ML Engineer, you will be responsible for building and maintaining the pipelines that power AI in our Healthcare Information Systems (HIS).
  • Experience working in a regulated environment (Healthcare, Finance, etc.).
  • 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).
  • Monitoring: Implement basic monitoring tools to track model performance, data drift, and system health in production.
  • 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.

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