Granicus

Data Scientist 3

Granicus

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

  • Architect and implement generative AI and Agentic solutions using LLMs, diffusion models, and other cutting-edge techniques for text, image, and multimodal generation.
  • Develop custom fine-tuning and prompt engineering strategies for foundation models to meet domain-specific needs.
  • Explore innovative applications of generative AI in areas such as conversational agents, automated content creation, and citizen engagement platforms.
  • Build scalable pipelines for model training, evaluation, and deployment on cloud and edge environments.
  • Collaborate with product and engineering teams to embed generative AI capabilities into enterprise platforms.
  • Conduct research and experimentation with emerging architectures (e.g., transformers, diffusion models, VAEs, GANs) to stay ahead of industry trends.
  • Establish best practices for responsible AI, including bias mitigation, explainability, and ethical use of generative models.
  • Communicate complex AI concepts to executives and non-technical stakeholders in a clear, actionable manner.
  • Mentor junior data scientists and contribute to frameworks, tools, and reusable components for generative AI development.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related quantitative field.
  • 7+ years of experience in data science, with at least 2+ years focused on generative AI or advanced deep learning.
  • Proven expertise in LLMs, diffusion models, GANs, VAEs, and other generative architectures.
  • Strong proficiency in Python and ML/DL frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
  • Experience with fine-tuning foundation models, prompt engineering, and model optimization.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps for large-scale AI deployments.
  • Strong understanding of data preparation for generative models, including text, image, and multimodal datasets.
  • Excellent problem-solving and communication skills, with ability to influence AI strategy.
  • Experience with multimodal AI (text + image + audio).
  • Familiarity with RLHF (Reinforcement Learning with Human Feedback) and alignment techniques.
  • Knowledge of responsible AI principles, including fairness and interpretability.
  • Contributions to open-source generative AI projects or published research.
  • Prior work in government or public sector AI applications.
Benefits
  • Employee Resource Groups to encourage diverse voices
  • Coffee with Mark sessions – Our employees get to interact with our CEO on very important and sometimes difficult issues ranging from mental health to work-life balance and current affairs.
  • Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more.
  • We bring in special guests from time to time to discuss issues that impact our employee population
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
generative AILLMsdiffusion modelsGANsVAEsPythonPyTorchTensorFlowHugging Face TransformersMLOps
Soft Skills
problem-solvingcommunicationmentoringinfluencing strategy
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in AI/ML