LLM Engineer
- Austin
- Permanent
- Permanent IT
- BDo25-1534582
- 25/10/2024
LLM Engineer
US Remote
$130-160k + Great Benefits
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 LLM Engineer to meet their exciting growth plans.
LLM Engineer responsibilities
If you are ready to take your career to the next level and make a significant impact, apply now!
US Remote
$130-160k + Great Benefits
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 LLM Engineer to meet their exciting growth plans.
LLM Engineer responsibilities
- Develop and refine universal small and large language models (ULLM and SLM).
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Design and implement machine learning models for NLP tasks across multiple languages.
- Analyze and preprocess large datasets to extract meaningful insights.
- Optimize algorithms to enhance AI model performance and accuracy.
- Mentor and grow a team of data scientists and engineers.
- Stay updated on industry trends and emerging technologies in AI and data science.
- Ensure ethical use of AI and uphold data privacy standards.
- Proficiency in Python (e.g., NumPy, pandas, sci-kit-learn) and Java (e.g., Weka, Deeplearning4j).
- Familiarity with Rust, C, C++, and scripting languages like Bash and Perl.
- Experience with databases such as Elastic VDB, MySQL, Redis, Milvus, Pinecone, Cassandra, and Chroma DB.
- Strong understanding of supervised and unsupervised learning, neural networks, and optimization techniques.
- Proficiency with deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Knowledge of NLP concepts such as tokenization, part-of-speech tagging, and named entity recognition.
- Experience with NLP libraries and tools like NLTK, spaCy, and Stanford CoreNLP.
- Ability to handle large datasets, including data cleaning, preprocessing, and feature engineering.
- Understanding of distributed computing frameworks like Hadoop and Spark.
- Strong foundation in linear algebra, calculus, and probability theory.
- $130-160k 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!