Society of Exploration Geophysicists
Data Scientist LLM
Society of Exploration Geophysicists, Pleasanton, California, United States, 94566
Immediate need for a talented
Data Scientist LLM.
This is a
06+months contract
opportunity with long-term potential and is located in
Pleasanton, CA
(Remote; CA, OR, WA, GA, CO, MD, VA).
Please review the job description below and contact me ASAP if you are interested.Job ID: 24-37954Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Design and develop LLMs for specific use cases, including but not limited to text generation, summarization, and conversational agents.Prompt engineer pre-trained LLMs on domain-specific data to optimize performance for target applications.Develop RAG based applications.Collaborate with data scientists, engineers, and product teams to integrate LLM capabilities into existing systems and platforms.Optimize model performance in terms of accuracy, speed, and resource utilization.Ensure the ethical use of AI models and implement fairness, accountability, and transparency measures.Key Requirements and Technology Experience:Key Skills:
Data Science, LLM, BERT, RAG, GenAIStrong grasp of NLP concepts such as tokenization, embeddings, attention mechanisms, and sequence modeling.Experience in handling domain adaptation, multi-task learning, and transfer learning.Experience with popular deep learning frameworks (e.g., TensorFlow, PyTorch).Proven track record of prompt engineering, RAG system development, and fine-tuning large pre-trained models (e.g., GPT, BERT, T5, etc.).Strong programming skills in Python; familiarity with other languages is a plus.Extensive experience with TensorFlow, PyTorch, Keras, Theano libraries.Deep understanding of neural network architectures, especially transformer models.Experience with large-scale model training on GPUs.Familiarity with model compression techniques (e.g., quantization, distillation).Experience with containerization tools (Docker).Knowledge of MLOps practices, including model versioning, monitoring, and A/B testing.Experience in developing and deploying APIs for model inference, using frameworks like Flask, Django, FastAPI.Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly) for analyzing data and model performance and interpreting results.Strong experience with version control systems (e.g., Git) and collaborative coding platforms (e.g., GitHub, GitLab).Our client is a leading
Healthcare Industry , and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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Data Scientist LLM.
This is a
06+months contract
opportunity with long-term potential and is located in
Pleasanton, CA
(Remote; CA, OR, WA, GA, CO, MD, VA).
Please review the job description below and contact me ASAP if you are interested.Job ID: 24-37954Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Design and develop LLMs for specific use cases, including but not limited to text generation, summarization, and conversational agents.Prompt engineer pre-trained LLMs on domain-specific data to optimize performance for target applications.Develop RAG based applications.Collaborate with data scientists, engineers, and product teams to integrate LLM capabilities into existing systems and platforms.Optimize model performance in terms of accuracy, speed, and resource utilization.Ensure the ethical use of AI models and implement fairness, accountability, and transparency measures.Key Requirements and Technology Experience:Key Skills:
Data Science, LLM, BERT, RAG, GenAIStrong grasp of NLP concepts such as tokenization, embeddings, attention mechanisms, and sequence modeling.Experience in handling domain adaptation, multi-task learning, and transfer learning.Experience with popular deep learning frameworks (e.g., TensorFlow, PyTorch).Proven track record of prompt engineering, RAG system development, and fine-tuning large pre-trained models (e.g., GPT, BERT, T5, etc.).Strong programming skills in Python; familiarity with other languages is a plus.Extensive experience with TensorFlow, PyTorch, Keras, Theano libraries.Deep understanding of neural network architectures, especially transformer models.Experience with large-scale model training on GPUs.Familiarity with model compression techniques (e.g., quantization, distillation).Experience with containerization tools (Docker).Knowledge of MLOps practices, including model versioning, monitoring, and A/B testing.Experience in developing and deploying APIs for model inference, using frameworks like Flask, Django, FastAPI.Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly) for analyzing data and model performance and interpreting results.Strong experience with version control systems (e.g., Git) and collaborative coding platforms (e.g., GitHub, GitLab).Our client is a leading
Healthcare Industry , and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
#J-18808-Ljbffr