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Freelance Nvidia Machine Learning Jobs in Alabama

SOSi

Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

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

SOSi

Data Engineer

Redstone Arsenal, AL

$116K - $140K/yr

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

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL · On-site

$87K - $157K/yr

... and machine learning. Typical customers include Defense Advanced Research Projects Agency (DARPA ... Experience deploying to various edge processing devices including the NVIDIA Jetson family and ...

Leidos

Computer Vision AI/ML Engineer

Huntsville, AL · On-site

$87K - $157K/yr

... and machine learning. Typical customers include Defense Advanced Research Projects Agency (DARPA ... Experience deploying to various edge processing devices including the NVIDIA Jetson family and ...

All JobsFreelance Nvidia Machine Learning JobsFreelance Nvidia Machine Learning Jobs in Alabama

Freelance Nvidia Machine Learning information

What are the key skills and qualifications needed to thrive as a Freelance Nvidia Machine Learning Engineer, and why are they important?

To thrive as a Freelance Nvidia Machine Learning Engineer, you need a strong background in machine learning principles, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in Python programming, often supported by a relevant degree or certifications. Familiarity with Nvidia hardware (GPUs), CUDA programming, and tools like Nvidia Deep Learning SDKs is essential for optimizing and deploying models efficiently. Exceptional problem-solving, self-management, and client communication skills help you deliver effective solutions and maintain successful freelance relationships. Mastery of these skills ensures you can build high-performance models, meet client expectations, and stay competitive in the rapidly evolving ML landscape.

What is the difference between Freelance Nvidia Machine Learning vs Freelance Data Scientist?

AspectFreelance Nvidia Machine LearningFreelance Data Scientist
Required CredentialsKnowledge of Nvidia GPU architectures, CUDA programming, machine learning frameworksStatistics, programming, data analysis skills, often with similar certifications
Work EnvironmentProject-based, remote, often with tech companies or startupsProject-based or consulting, remote or on-site, across various industries
Industry UsageAI, deep learning, GPU-accelerated applicationsData analysis, predictive modeling, business insights

Freelance Nvidia Machine Learning specialists focus on GPU-accelerated AI projects using Nvidia technologies, while Freelance Data Scientists handle broader data analysis and modeling tasks. Both roles are in high demand for tech-driven projects but differ in technical focus and tools used.

What are some common challenges freelance Nvidia Machine Learning specialists face when working with clients remotely?

Freelance Nvidia Machine Learning specialists often encounter challenges such as ensuring compatibility between client hardware and Nvidia GPU requirements, effectively communicating technical needs and project progress to non-expert clients, and managing project timelines without in-person oversight. Additionally, freelancers may need to set up secure access to client data or cloud environments, which can require extra coordination. Proactively clarifying expectations, maintaining clear documentation, and staying current with Nvidia's latest tools (like CUDA, cuDNN, or TensorRT) are essential strategies for overcoming these challenges.

What does a Freelance Nvidia Machine Learning specialist do?

A Freelance Nvidia Machine Learning specialist is an independent contractor who uses Nvidia hardware and software platforms, such as CUDA and TensorRT, to develop, optimize, and deploy machine learning models. These professionals often work with clients to accelerate AI workloads, implement deep learning solutions, and leverage GPU computing for data processing tasks. Their projects may include computer vision, natural language processing, or other AI applications that benefit from Nvidia’s technology stack. Freelancers in this field need strong programming skills, familiarity with Nvidia SDKs, and experience optimizing models for high-performance computing environments.
What are the most commonly searched types of Nvidia Machine Learning jobs in Alabama? The most popular types of Nvidia Machine Learning jobs in Alabama are:
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Freelance Nvidia Machine Learning jobs near you
Data Engineer

Data Engineer

SOSi

Redstone Arsenal, AL • On-site

$116K - $140K/yr

Full-time

Posted 16 days ago

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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