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Senior Full Stack Machine Learning Engineer Jobs in Pooler, GA

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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Senior Civil Engineer Work Location: Atlanta, GA Salary: Based on experience and will be discussed ... Provide mentorship to junior engineers, fostering a learning environment that promotes growth ...

Senior Transmission Line Engineer

Savannah, GA · On-site +1

$73.45K - $132.78K/yr

Experience in reviewing full transmission line designs including PLS-CADD models, foundations ... learning training, work-life flexibility, an exciting External Referral Program, and a diverse ...

... full potential. Unleash your talent and redefine what's possible. Parsons is now hiring a Senior ... Prepare and review engineering calculations, drawings, and specifications. * Manage project ...

Senior Roadway Engineer

Savannah, GA · On-site

$88.40K - $154.70K/yr

... full potential. Unleash your talent and redefine what's possible. Parsons is now hiring a Senior ... Prepare and review engineering calculations, drawings, and specifications. * Manage project ...

Manage and mentor a team of 2 direct reports (Senior Data Analyst and Data Analyst). Develop team ... Certified Machine Learning, Google Professional Data Engineer, or similar) are a plus. Physical ...

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Senior Full Stack Machine Learning Engineer information

See Pooler, GA salary details

$40.4K

$122.4K

$173.1K

How much do senior full stack machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior full stack machine learning engineer in Pooler, GA is $122,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What cities near Pooler, GA are hiring for Senior Full Stack Machine Learning Engineer jobs? Cities near Pooler, GA with the most Senior Full Stack Machine Learning Engineer job openings:
Reporting Developer Senior- Data Scientist Senior

Reporting Developer Senior- Data Scientist Senior

Gulfstream Aerospace Corporation

Savannah, GA • On-site

Full-time

Posted 19 days ago


Gulfstream Aerospace rating

8.7

Company rating: 8.7 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

12th of 59 rated aerospace companies


Job description

Reporting Developer Senior- Data Scientist Senior in GAC Savannah
Unique Skills:
General:
  • Minimum 5 years experience in Data Science
  • Programming: Expert-level Python for ML and data engineering; strong modular coding practices, packaging, unit testing (pytest).
  • Databricks (Azure), Microsoft Fabric, or AWS Sagemaker: Hands-on experience with Lakehouse / Warehouse patterns, Spark DataFrames, Delta Lake (ACID, OPTIMIZE/VACUUM), MLflow for experiment tracking, model registry, and jobs/workflows.
  • ML Tooling: Scikit-learn, XGBoost/LightGBM, statsmodels; feature engineering at scale; model selection, cross-validation, hyperparameter tuning; robust performance diagnostics (ROC/AUC, PR, F1, lift, residual/error analysis).
  • Data Ops & MLOps: MLflow, model packaging, batch/stream inference patterns on Databricks, job orchestration, CI/CD for notebooks/repos, environment reproducibility (conda/poetry), and model monitoring (drift, stability, recalibration triggers).

Machine Learning Expertise
  • Classical ML focus (non-GenAI): Time-series forecasting (ARIMA/SARIMA/ETS/Prophet, gradient boosting for forecast blending), supervised learning (classification, regression), unsupervised learning (clustering, anomaly detection), survival/reliability analysis, and design-of-experiments (DOE).
  • Feature engineering: Lag/lead features, calendar/maintenance cycles, sensor aggregation windows, rolling stats, treatment of missingness/outliers, target leakage controls, and robust scaling for heteroscedastic industrial data. Synthetic data generation.
  • Evaluation in production contexts: Backtesting strategies, cross-site validation (multi-plant / multi-airframe), cost-sensitive metrics (false-alarm vs miss costs), and explainability suitable for engineering review boards. Optimization of Type 1 vs. Type 2 errors.

Manufacturing & Aerospace Domain (Strongly Preferred)
  • Industrial analytics: Experience with predictive maintenance, condition-based monitoring, yield/throughput improvement, quality/defect analytics, SPC, first-pass yield, and takt-time bottleneck analysis in complex discrete manufacturing.
  • Aerospace value chain: Practical familiarity with E2E flows: design → supply chain → assembly → test/flight → field operations & MRO; interpreting sensor/telemetry (AHTMS), maintenance logs, and part lifecycle histories.
  • ERP/MES/PLM context: Working knowledge of SAP/ERP data constructs (orders, routings, WIP, inventory), MES event logs, and engineering change impacts on data semantics.

Collaboration, Communication & Leadership
  • Stakeholder engagement: Translate business problems into solvable ML formulations; quantify expected value; define acceptance criteria; present results to engineering, reliability, and operations leaders.
  • Cross-functional teaming: Close collaboration with Data Engineering (ETL, CDC, quality, security) and Citizen Data Scientists for enablement and review cycles.
  • Documentation & training: Produce clear technical docs, model cards, and operational runbooks; coach junior DS and citizen developers.

Education and Experience Requirements
Bachelor's Degree in Information Technology, Computer Science, Engineering or relevant curriculum required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 9 years relevant business/technical experience to include five (5) years specific reporting, data analytics, or related technical development/deployment experience. Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience.
Position Purpose:
This is a data and analytics development role within the Gulfstream Business Technology organization for the Enterprise Reporting team. This role directly supports the suite of Gulfstream Enterprise Reporting applications. Responsible for developing requirements, solution development, testing, deployment, and support of enterprise reporting solutions.
Job Description
Principle Duties and Responsibilities:
Essential Functions:
  1. Engages stakeholders and technology users in identifying, analyzing, and documenting business requirements.
  2. Creates plans according to schedules and assignments, and acts independently to carry them out.
  3. Assures that solution designs meet requirements for scalability, performance and quality in accordance with negotiated service level agreements. Drives decisions related to architecture and design.
  4. Delegates tasks and/or responsibilities to team members for action according to their level of experience and assigned accountability.
  5. Ensures applications processes are followed consistently and are in compliance with applicable policies, procedures, standards, etc.
  6. Performs work related to configuring, deploying, maintaining, and upgrading reporting and data analytics applications and processes. Responsible for tasks related to the development and deployment of systems, methodologies, standards and processes that result in the ability to create and manage the technical solutions.
  7. Supports management in recruiting, hiring, and career development.
  8. Assists with the development of work breakdown structures, project plans, and skills required. to develop and implement applications.
  9. Documents, develops, tests, deploys, and supports reporting and data analytics development using a variety of technical tools in support of business requirements.

Additional Functions:
  1. Conducts briefings and participates in technical meetings concerning specific projects or other activities. .
  2. Serves as technical expert in one or more applications within a portfolio. .

Perform other duties as assigned.
Other Requirements:
  1. Experience with Agile development methodology and working on an agile team preferred. Multiple agile based project deliveries and certified scrum master preferred.
  2. Demonstrated understanding of software development lifecycle methodologies (SDLC).
  3. Experience in conducting testing including design and execution of test cases.
  4. Demonstrated capability to understand high volume / high complexity data structures to deliver analytics solutions that drive business insight and value.
  5. Excellent presentation design and delivery skills.
  6. Ability to lead/facilitate cross-functional teams and meetings.

A credit history check from a national credit bureau will be conducted for all candidates for this position including new hires and current employees seeking promotion or transfer.This job requires one to be able to read, write, speak, and understand the English language.
Additional Information
Requisition Number: 230959
Category: Information Systems
Percentage of Travel: Up to 25%
Shift: First
Employment Type: Full-time
Posting End Date: 03/21/2026
#LI-HS1
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee.
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Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (NYSE: GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft

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