Senior Data Science Engineer

4 weeks ago

New York, New York, United States Publicis Sapient Full time

Job Title: Senior Data Science Engineer

Your Impact:

The Senior Data Science Engineer will work with clients undergoing a data-driven transformation across the globe. The role will accelerate and drive the DDT strategy for clients, working in partnership with digital directors, client teams, and practice capability. The Senior Data Science Engineer will be a key contributor in ensuring Publicis Sapient is an industry leader in digital thinking, execution, and value realization for clients through data-driven solutions.

You will be passionate about solving real-world problems through the application of machine learning and AI - specifically GenAI.

GenAI Skills:

  • Experience in developing and implementing generative AI models and algorithms, Retrieval Augment generation and prompt engineering.
  • Ability to work with large datasets and understand preprocessing techniques.
  • Experience in building and deploying multi-modal generative AI systems in real-world applications.
  • Experience with GCP ecosystem with ImageGen, Vector Search, Vertex AI is a must.

Machine Learning / Deep Learning Skills:

  • Lead the development and implementation of advanced machine learning models, ensuring a high standard of technical excellence.
  • Design, implement and provide guidance on ML engineering workflows, streamlining the deployment of models and systems to production for optimal efficiency.
  • Exceptional ML engineering knowledge, showcasing the ability to streamline model deployment and manage complex ML workflows.
  • Strong understanding of machine learning and deep learning principles.

Data Science Skills:

  • Extensive full-time experience in Data Science roles, with a proven background in leading and mentoring small data science project teams.
  • Track record of successfully taking multiple data science models/systems into production with GCP ecosystem.
  • Strong background and experience with Machine Learning Operations (MLOPs) and Large Language Model Operations (LLMOps).
  • Expertise in collaborative development tools and practices, including peer code reviews and version control (Git).

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