Arka
AI

Data Scientist

Arka · Remote · $105k - $124k

Actively hiring Posted over 1 year ago

We’re Hiring a Data Scientist!

Are you passionate about AI and excited to work on cutting-edge applications in the field of NLP and LLMs (Large Language Models)? Do you have experience with AI Agents and the RAG (Retrieval-Augmented Generation) approach? If yes, we’d love to have you on our team!

What You’ll Do:

  • Develop and Deploy Models: Build and optimize machine learning models, with a strong emphasis on NLP and LLM applications.
  • Implement RAG-based Solutions: Design and implement Retrieval-Augmented Generation workflows to solve real-world challenges.
  • Experiment with AI Agents: Innovate and optimize AI Agents for diverse use cases.
  • Stay Updated: Continuously explore the latest trends and advancements in AI and ML to bring innovative ideas to the team.

What We’re Looking For:

Must-Have Skills:

  • Programming Expertise: Proficiency in Python and experience with libraries such as LangChain, Hugging Face, or similar NLP/LLM frameworks.
  • AI and NLP Knowledge: Hands-on experience with LLMs, transformers, or advanced NLP techniques.
  • Problem-Solving Ability: Strong analytical skills and a creative mindset to tackle complex challenges.
  • Curiosity and Drive: A passion for AI innovation and continuous learning.
  • Effective Communication: Ability to clearly present insights, findings, and results to both technical and non-technical audiences.

Preferred Qualifications:

  • Experience with RAG Workflows: Familiarity with integrating external data sources into LLMs.
  • Cloud and Deployment Expertise: Knowledge of cloud platforms (AWS, GCP, or Azure) and experience with building deployment pipelines.
  • Open-Source Contributions or Research: Demonstrated involvement in ML/NLP open-source projects or published research.

Join us in shaping the future of AI! If you’re ready to make an impact and work on some of the most exciting advancements in AI technology, apply now!

Tags & focus areas

Used for matching and alerts on DevFound
Scientist Data Science Aws Solana Remote Transformers Langchain Python Gcp Azure
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.