Remote-First ML Engineer — Growth Path & Impact

Business Excellence Corp; Roswell (NM); Hybride; USD 51 000 - 75 000; Plein temps

Avantages offerts par ce poste

Mentorship program

Flexible scheduling

Résumé du poste

Business Excellence Corp in Roswell, NM is seeking a Machine Learning Engineer with 1 year of experience to ship remote-friendly features that delight users at every scale. The role includes a base salary of $51,000–$75,000 on a contract setup, with a ladder for growth and mentorship.

You will work on ML and data infrastructure that touches Seaborn, BigQuery, and SageMaker in a remote-friendly environment. Join a maker-minded team focused on hypothesis testing and robust data pipelines.

Qualifications

• 1+ year of experience in ML or data-focused roles.
• Familiarity with cloud-based data workflows and analysis.
• Strong written and verbal communication skills.

Responsabilités

• Ensure code quality through linting, testing, and static analysis.
• Trace a technology number through Seaborn services to ensure accurate results.
• Troubleshoot and resolve production incidents across BigQuery-based applications.
• Land Jupyter performance wins that can be measured in NM retention numbers.
• Replace brittle R hacks with robust Jupyter-based solutions for Roswell scale.
• Optimize SageMaker infrastructure to reduce cloud costs in Roswell, NM.
• Collaborate with product and design teams to ship features end to end.
• Architect fault-tolerant distributed systems leveraging BigQuery and Seaborn.

Connaissances

LangChain

BigQuery

TensorFlow

Jupyter

Outils

Snowflake

SageMaker

Description du poste

Business Excellence Corp in Roswell, NM is seeking a Machine Learning Engineer with 1 year of experience to ship remote-friendly features that delight users at every scale. The role includes a base salary of $51,000–$75,000 on a contract setup, with a ladder for growth and mentorship.

You will work on ML and data infrastructure that touches Seaborn, BigQuery, and SageMaker in a remote-friendly environment. Join a maker-minded team focused on hypothesis testing and robust data pipelines.