LLM or GenAI Application Engineer

FocusKPI

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profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

FocusKPI is looking for anLLM or GenAI Application Engineerto join one of our clients a high-tech SaaS company.

An LLM or GenAI Application Engineer or LLM Research Engineer roleis mainly focused on the consumer-facing applications. The role will be a part of the core GenAI AI development team within the client. It primarily contributes to LLM-based application development evaluation and testing of new features as well as core technology such as an agent framework utilizing the latest technology. stack LLM technology.

Work Location:Mountain View CA
Duration:12-month contract; Hybrid role (4 days per week onsite)
Pay Range:$110/hr to $120/hr

**No C2C resumes are considered**

Role & Responsibilities:

  • Design train and fine-tune large language models (e.g. GPT LLaMA PaLM) for various applications.
  • Research 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 projectspresent findings and insights at conferences and internal knowledge-sharing sessions.
Qualifications:
  • Required to have 5-7years of industrial workexperiencealong with research/academic experience.
  • Advanced degree in Computer Science Artificial Intelligence Data Science or a related field.
  • Strongprogramming skills.
  • Expertise with LLM and GenAI application development.
  • Experience withdeep learning frameworkssuch 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.
  • Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).

Top 3 skills (must have):

  • The candidate must have a real (actual) product experience application development and GenAI-based application shipping.
  • Actual or IndustrialLLM or GenAI application experience of at least 2-3 years

**No C2C resumes are considered**

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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FocusKPI is looking for anLLM or GenAI Application Engineerto join one of our clients a high-tech SaaS company.An LLM or GenAI Application Engineer or LLM Research Engineer roleis mainly focused on the consumer-facing applications. The role will be a part of the core GenAI AI development team within...
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FocusKPI offers custom marketing analytics solutions and specialized data science support to fit your timeline and budget. Among our areas of expertise are: personalization solutions, measurement (MMM & MTA), and customer sentiment analysis.

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