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Entry Level Nvidia Machine Learning Jobs in Mobile, AL

SOSi

Data Engineer

Semmes, AL · On-site

$96K - $115K/yr

... Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. * Cloud native ... Develop services and extend infrastructure to enable machine learning workflows * Integrate ...

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Rural King Supply

Recovery Associate

Saraland, AL · On-site

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King Supply

Recovery Associate

Saraland, AL

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King Supply

Recovery Associate

Saraland, AL · On-site

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

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As of Jun 4, 2026, the average hourly pay for entry level nvidia machine learning in Mobile, AL is $17.33, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $18.85 per hour, depending on experience, location, and employer.
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Entry Level Nvidia Machine Learning jobs near you

Data Engineer

SOSi

Semmes, AL • On-site

$96K - $115K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
Overview
SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.
In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will partner with Data Scientists to refactor manual workflows to produce highly automated MLOPs based workloads. You will perform using scrumban techniques and be embedded with end users.
The team will work with technologies including:
  • Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc.
  • Cloud native techniques and containerization with Docker
  • Infrastructure as Code with Terraform
  • Configuration as Code with OPA
  • Observability with tools like EFK and LOKI + OTel
  • Leverage GitOps patterns and CI/CD with tools like GitLab, Argo, and Harness
  • Perform SAST/DAST security with tools like SonarQube
  • Perform Kubernetes and K3s orchestration with tools like Rancher and Konvoy
SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you!
Essential Job Duties
  • Build and maintain data pipelines, ETL processes, and storage systems
  • Develop services and extend infrastructure to enable machine learning workflows
  • Integrate software components into functional data systems
  • Write clean, testable, maintainable code in Python and other languages
  • Implement CI/CD pipelines and DevSecOps best practices
  • Create technical documentation for software systems
  • Collaborate across teams to share knowledge and leading practices
Qualifications
Minimum Requirements
  • Top Secret Security Clearance
  • Experience in data engineering and/or software development
  • Expertise with Python, GIT, YAML, Docker, and SQL
  • Knowledge of CI/CD, DevSecOps, and Agile methodologies
  • Experience developing back-end systems and services
  • Understanding of software design and system integration
Preferred Qualifications
  • Top Secret Security Clearance with SCI eligibility
  • Experience as a Site Reliability Engineer (SRE)
  • Experience with AIOps and FinOps
  • Experience with Petabyte scale data sets
  • Experience with large-scale, multi-INT analytics
  • BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field.
Additional Information
Work Environment
  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.
  • May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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