The program runs year-round, with: * Part-time participation during the academic year * Full-time ... Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace) * Knowledge of cloud platforms (AWS ...
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The program runs year-round, with: * Part-time participation during the academic year * Full-time ... Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace) * Knowledge of cloud platforms (AWS ...
The program runs year-round, with: * Part-time participation during the academic year * Full-time ... Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace) * Knowledge of cloud platforms (AWS ...
The program runs year-round, with: * Part-time participation during the academic year * Full-time ... Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace) * Knowledge of cloud platforms (AWS ...
Part Time Huggingface information
What is the difference between Part Time Huggingface vs Part Time Data Scientist?
| Aspect | Part Time Huggingface | Part Time Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of NLP, machine learning, Python, and familiarity with Huggingface libraries | Degree in Data Science, Statistics, or related field; proficiency in Python, R, and data analysis tools |
| Work Environment | Remote or flexible, often project-based, focusing on NLP model deployment and fine-tuning | Remote or office-based, project-driven, involving data analysis, modeling, and insights generation |
| Employer & Industry Usage | Tech companies, AI startups, research institutions using Huggingface for NLP tasks | Various industries including tech, finance, healthcare, utilizing data science for decision-making |
Part Time Huggingface roles focus on NLP model development and deployment using Huggingface tools, requiring specific AI and programming skills. Part Time Data Scientist positions involve broader data analysis and modeling skills across industries. Both roles may be remote and project-based but differ in technical focus and required expertise.
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What job categories do people searching Part Time Huggingface jobs look for? The top searched job categories for Part Time Huggingface jobs are:
Full-time, Part-time, Internship
Posted 29 days ago
Job description
Title: Rackner AI Innovation Fellowship (Startup Accelerator Internship)
Location: College Park (Hybrid – ~50% Minimum In-Person)
Who We Are
Rackner is a cloud-native software consultancy delivering innovative solutions for startups, enterprises, and the public sector. We are a fast-growing, mission-driven organization focused on solving complex challenges through cutting-edge technologies.
Our expertise spans end-to-end application development, DevSecOps, AI/ML, and systems architecture, with a strong emphasis on cloud-first and cost-effective innovation. We partner with organizations ranging from early-stage startups to large federal agencies, enabling digital transformation and delivering high-impact, scalable solutions.
Position Overview
The Rackner AI Innovation Fellowship is a hands-on research and development program designed to explore and build next-generation solutions using artificial intelligence, cloud computing, and emerging technologies.
This fellowship offers a unique opportunity for students and early-career technologists to work in a startup-like environment while gaining real-world experience developing impactful solutions aligned with Rackner's mission.
The program runs year-round, with:
- Part-time participation during the academic year
- Full-time engagement during the summer
Fellows will work in collaborative teams (ideally groups of 2–3 participants) to take ideas from concept to prototype, focusing on real-world applications, scalability, and measurable impact. Teams that already have strong working relationships are encouraged to apply together.
Each team will receive funding for cloud infrastructure and AI tools to support development. At the conclusion of the program, teams will present their solutions, findings, and working prototypes to Rackner leadership.
Key Responsibilities
- Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
- Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
- Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
- Develop proof-of-concept solutions with measurable impact
- Apply software engineering best practices (version control, testing, documentation)
- Analyze technical feasibility and potential business value of solutions
- Present findings, demos, and final prototypes to leadership
- Manage project timelines and contribute to team-based innovation
Focus Areas
- Large Language Models (LLMs) and AI-enabled applications
- Cloud-native development and distributed systems
- Cybersecurity and secure system design
- B2B platforms and enterprise solutions
- Government and public sector technology
Qualifications (Required)
- Must reside in a HUBZone
(Verify eligibility: https://maps.certify.sba.gov/hubzone/map) - Ability to participate in a hybrid model (~50% in-person in College Park)
- Currently enrolled student or recent graduate in a relevant field
Preferred Qualifications
- Background in Computer Science, Software Engineering, Data Science, or Business
- Strong preference for candidates with software development experience
- Experience with programming languages such as Python, JavaScript, or Java
- Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Understanding of APIs, microservices, or distributed systems
Candidate Profile (What We're Looking For)
- HUBZone candidates strongly encouraged to apply
(Goal: Build a cohort of at least 9 HUBZone participants, including current interns) - Team-oriented applicants
- Preference for candidates applying in teams of 2–3
- Teams with prior working relationships or strong collaboration experience are highly encouraged
- Balanced technical + business mindset
- Ideal team composition: 2 technical (software-focused) + 1 business-oriented member
- Candidates with business, product, or entrepreneurial experience are a plus
- High energy and motivation
- Demonstrated strong work ethic
- Passion for innovation, problem-solving, and building new solutions
- Ability to thrive in fast-paced, ambiguous, startup-like environments
Startup Accelerator Opportunity
Participants will have the opportunity to convert their project into a startup by buying back their intellectual property (IP) in exchange for equity, creating a direct pathway from fellowship to entrepreneurship.
Additional Benefits
- Industry-leading weekly pay schedule
- Hybrid work environment with strong in-person collaboration
- Access to cutting-edge AI tools and cloud resources
- Professional development and certification support
- Opportunity to build real-world portfolio projects
- Exposure to startup and enterprise innovation
- Home office support
Why Join Rackner?
This fellowship is more than an internship, it's an opportunity to innovate, build, and potentially launch your own venture while working on impactful technologies that support both commercial and federal missions.
About Rackner
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Silver Spring, MD, US
Year founded
2015