Blue Rose Technologies - San Francisco, CA

posted 11 days ago

Full-time
San Francisco, CA

About the position

The Data Scientist/ML Engineer role is focused on leveraging machine learning and data science techniques to develop and enhance AI-driven solutions. This position requires a strong background in software engineering and proficiency in Python, with a specific emphasis on natural language processing and deep learning methodologies. The role is hybrid, based in San Francisco, CA, and is expected to last for 12 months.

Responsibilities

  • Develop and implement machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Utilize Python and Pyspark for data analysis and model development.
  • Follow software best practices including version control, CI/CD, and documentation.
  • Conduct prompt engineering and fine-tuning of large language models (LLMs).
  • Engage in retrieval augmented generation (RAG) techniques for enhanced model performance.
  • Participate in DevOps/MLOps practices to streamline model deployment and monitoring.

Requirements

  • 10-15+ years of experience in software engineering, machine learning, data science, or artificial intelligence.
  • 6+ years of experience specifically in machine learning and data science.
  • Strong proficiency in Python and Pyspark.
  • Experience with version control systems like Git.
  • Familiarity with CI/CD processes and unit testing.
  • Proficient in using NLP and ML frameworks such as PyTorch, TensorFlow, and NumPy.
  • Strong background in natural language processing, machine learning, and deep learning.

Nice-to-haves

  • Hands-on experience with LLM skills including prompt engineering and fine-tuning.
  • Exposure to Microsoft Azure or similar cloud computing platforms.
  • Experience with DevOps/MLOps/LLMOps.
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