AI Engineer
- Austin
- Permanent
- Permanent IT
- BDs12-1538893
- 12/09/2024
AI Engineer
US Remote
Competitive Salary + Great Benefits
Immediate Interview & Start Available
Our Texas-based, early-stage AI-driven client has developed a next-generation networking and business guidance platform that drives collective intelligence and brand visibility. They have an immediate US-based remote opening for an experienced AI/LLM Engineer to meet their exciting growth plans.
AI Engineer responsibilities
If you are ready to take your career to the next level and make a significant impact, apply now!
US Remote
Competitive Salary + Great Benefits
Immediate Interview & Start Available
Our Texas-based, early-stage AI-driven client has developed a next-generation networking and business guidance platform that drives collective intelligence and brand visibility. They have an immediate US-based remote opening for an experienced AI/LLM Engineer to meet their exciting growth plans.
AI Engineer responsibilities
- Lead the fine-tuning of LLMs for specific tasks using techniques like LoRA and QLoRA.
- Develop and optimize Retrieval-Augmented Generation (RAG) systems.
- Apply deep learning knowledge of transformer models, especially BERT, for NLP solutions.
- Develop models for processing and analyzing unstructured data, especially natural language.
- Optimize AI models for performance, reducing latency and improving efficiency.
- Collaborate in the development of custom kernels for machine learning in NLP workloads.
- Implement A/B testing to validate model improvements.
- Work closely with cross-functional teams to align AI/ML model requirements with system capabilities.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Extensive experience with Python, focusing on NLP and LLM frameworks.
- Deep understanding of transformer models like BERT and related architectures.
- Hands-on experience with fine-tuning techniques such as LoRA and QLoRA.
- Proven experience with Retrieval-Augmented Generation (RAG) systems.
- Familiarity with A/B testing methodologies for ML model validation.
- Strong understanding of machine learning algorithms, particularly for NLP.
- Experience with performance profiling and optimization tools.
- Competitive salary
- Equity-based compensation with potential for significant growth as the company scales Chance to be part of a transformative platform shaping the future of business
- Dynamic remote work environment with a passionate team
If you are ready to take your career to the next level and make a significant impact, apply now!