Job Description
Job Title: ML Engineer (Generative AI)
Company: Undetectable.ai (100% Remote)
About Us:
Undetectable.ai is an innovative, fully remote company at the forefront of AI. We focus on developing advanced generative models and cutting-edge solutions.
Job Overview:
We are seeking an entry- to mid-level ML Engineer (Generative AI) to drive dataset development and fine-tuning of large language models (LLMs). This role emphasizes production-level model training, evaluation, deployment, and some research.
Key Responsibilities:
- Dataset Development:Design and maintain high-quality datasets for model training.
- Model Training & Fine-Tuning:Fine-tune pre-trained LLMs (using frameworks like Hugging Face) to meet project needs.
- Optimize training pipelines and troubleshoot performance issues.
- Evaluation & Deployment:Implement metrics for model evaluation.
- Deploy models into production and monitor their performance.
- API Integration:Utilize tools like Postman for API testing and integration.
- Research & Collaboration:Stay updated on generative AI advancements (e.g., kv cache techniques).
- Work effectively with a diverse, remote team, ensuring clear communication.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (or equivalent experience).
- Experience with dataset development and LLM fine-tuning.
- Proficiency in Python and familiarity with Hugging Face libraries.
- Understanding of API integration and model deployment.
- Excellent written and verbal communication skills in English.
What We Offer:
- Fully remote position with flexible hours.
- Opportunity to work on innovative, production-level AI projects.
- Competitive compensation and growth opportunities.
If you’re passionate about generative AI and eager to contribute to cutting-edge projects, we’d love to hear from you.