Machine Learning Engineer: Deep MLOps & Telemetry

Discovery; Corpus Christi (TX); Hybrid; USD 86,000 - 120,000; Full time

Benefits offered by this job

Performance bonuses

Comprehensive insurance

Flexible work location

Job summary

Discovery in Corpus Christi, TX is hiring a Machine Learning Engineer focused on MLOps and deep stack ownership. You’ll own key initiatives, partner closely with the team, and help shape the stack while earning $86,000 - $120,000.

From day one, Discovery emphasizes mentorship and Friday learning, with flexibility on where you work. You’ll build fault-tolerant distributed systems and dashboards using Jupyter and Power BI while upholding engineering standards.

Qualifications

• Hands-on technology experience that holds up to follow-up questions.
• Familiarity with Jupyter and related tools or frameworks.
• Collaborative mindset and genuine enthusiasm for teamwork.
• Demonstrated calm when a Corpus Christi, TX client changes scope mid-stream.

Responsibilities

• Catch the underdog-spirited Prioritization regression in staging before it ever reaches Corpus Christi customers.
• Trace a technology number back through Power BI services until it finally adds up.
• Own the deeply technical edge cases in Discovery's Leadership billing nobody else wants to touch.
• Push MLOps changes safely behind flags so Corpus Christi, TX rollbacks take seconds.
• Architect fault-tolerant distributed systems leveraging Prioritization and Stress Management.
• Pull MLOps telemetry into dashboards Discovery leaders actually open.
• Review pull requests and uphold engineering standards across the technology team.

Skills

Hands-on experience

Team collaboration

Calm under pressure

Tools

Jupyter

Power BI

Job description

Discovery in Corpus Christi, TX is hiring a Machine Learning Engineer focused on MLOps and deep stack ownership. You’ll own key initiatives, partner closely with the team, and help shape the stack while earning $86,000 - $120,000.

From day one, Discovery emphasizes mentorship and Friday learning, with flexibility on where you work. You’ll build fault-tolerant distributed systems and dashboards using Jupyter and Power BI while upholding engineering standards.