LLM Research Engineer

FocusKPI is seeking anLLM Research Engineerto join one of our clients a high-tech SaaS company. Looking for qualified candidates from high-tech companies.

Work Location:Mountain View CA(Onsite role)
Duration:12-monthcontract
Pay Range:$115 - 131/hr

**No C2C resumes are considered**

Responsibilities:

• Design train and fine-tune large language models (e.g. GPT LLaMA PaLM) for various applications.
• Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
• Explore advancements in transformer architectures multi-modal models and emergent AI behaviors.
• Collect clean and preprocess large-scale text datasets from diverse sources.
• Develop and implement data augmentation techniques to improve training data quality.
• Ensure data is free from bias and aligned with ethical AI standards.
• Optimize model architecture to improve accuracy efficiency and scalability.
• Implement techniques to reduce latency memory footprint and inference time for real-time applications.
• Collaborate with MLOps teams to deploy LLMs into production environments using Docker Kubernetes and cloud
• Develop robust evaluation pipelines to measure model performance using key metrics like accuracy perplexity BLEU and F1 score.
• Continuously test for bias fairness and robustness of language models across diverse datasets.
• Conduct A/B testing to evaluate model improvements in real-world applications.
• Stay updated with the latest advancements in generative AI transformers and NLP research.
• Contribute to research papers patents and open-source projects.
• Present findings and insights at conferences and internal knowledge-sharing sessions.

• Education: Masters degree with a minimum of 3 years of experience post-graduation or a Bachelorsdegree with a minimum of 5 years of experience post-graduation
• Advanced degree in Computer Science Artificial Intelligence Data Science or a related field.
• Strong programming skills.
• Proficiency withMachine Learning.
• Proficiency with deep learning frameworks such as TensorFlow PyTorch or JAX.
• Hands-on experience with transformer-based models (e.g. GPT BERT RoBERTa LLaMA).
• Expertise in natural language processing (NLP) and sequence-to-sequence models.
• Familiarity with Hugging Face libraries and OpenAI APIs.
• Experience with MLOps tools like Docker Kubernetes and CI/CD pipelines.
• Strong understanding of distributed computing and GPU acceleration using CUDA.
• Experience with Evaluation Pipeline Development and Large Language Model Fine-Tuning.
• Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).

Thank you!

FocusKPI Hiring Team

Founded in 2010 FocusKPI Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley California with an East Coast office in Boston Massachusetts.

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