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Fulltime Github Software Engineer Jobs in Houma, LA

Job Type Full-time Description Main Purpose: The Junior Project Manager supports the planning ... Working closely with Project Managers, Engineering, Production, Quality, Procurement and Client ...

Job Type Full-time Description Main Purpose: The Material Planner is responsible for supporting ... Ensure changes to the Bill of Materials (BOM), including engineering change, lost, damaged and ...

Ensure changes to the Bill of Materials (BOM), including engineering change, lost, damaged and ... Software including Adobe, Excel, Bluebeam, and 3D modeling such as Inventor and Fusion 360 ...

Ensure changes to the Bill of Materials (BOM), including engineering change, lost, damaged and ... Software including Adobe, Excel, Bluebeam, and 3D modeling such as Inventor and Fusion 360 ...

Fulltime Github Software Engineer information

See Houma, LA salary details

$61.4K

$142.6K

$198.7K

How much do fulltime github software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fulltime github software engineer in Houma, LA is $142,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $167,300.00 per year, depending on experience, location, and employer.

What cities near Houma, LA are hiring for Fulltime Github Software Engineer jobs?

Cities near Houma, LA with the most Fulltime Github Software Engineer job openings:

Infographic showing various Fulltime Github Software Engineer job openings in Houma, LA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $142,623 per year, or $68.6 per hour.

Senior Machine Learning Engineer

Bollinger Shipyards

Raceland, LA • On-site

$99K - $136K/yr

Full-time

Re-posted 17 days ago


Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Title:Senior Machine Learning Engineer

Location:Mulitple Locations

Position Overview:

The Senior ML Engineer is responsible for operationalizing machine learning and AI solutions into scalable, reliable, and production-ready enterprise systems. This role bridges data science, software engineering, and infrastructure disciplines to deploy, monitor, optimize, and support AI solutions that drive operational and business outcomes.

Key Responsibilities: 

•             Deploy, integrate, and maintain machine learning and AI solutions within enterprise workflows and operational systems

•             Design and develop scalable ML pipelines, feature stores, APIs, and model-serving infrastructure

•             Collaborate with Data Scientists to productionize models and improve deployment readiness

•             Monitor model performance, drift, availability, and reliability across production environments

•             Implement processes for model retraining, versioning, governance, and lifecycle management

•             Partner with Data Engineering teams to support feature engineering and data pipeline integration

•             Ensure ML solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards

•             Support AI applications across forecasting, operational optimization, bidding, scheduling, maintenance, and automation use cases

•             Troubleshoot and resolve issues related to model deployment and operational performance

•             Contribute to ML engineering standards, best practices, and platform improvements

•             Document architecture, deployment processes, and operational support procedures

Qualifications: 

·       Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field

·       6–10 years in ML or software engineering

·       Strong Python and ML deployment experience

·       Experience with cloud ML systems

Skills: 

•             Experience with Azure ML, Databricks, ML Ops, or similar cloud AI platforms

•             Experience in manufacturing, industrial, operational, or engineering environments

•             Familiarity with large language models, Generative AI, and intelligent automation

•             Experience supporting enterprise AI applications integrated with ERP or operational systems

•             Knowledge of monitoring, observability, and model governance practices

•             Experience with Docker, Kubernetes, and infrastructure-as-code practices

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity. 

Employment Type: FULL_TIME

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