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Lead Data Scientist and AI Engineer
2 months ago
Publicis Sapient is a leading digital transformation partner that helps established organizations navigate their journey to a digitally-enabled state. We unlock value through a start-up mindset and modern methods, combining strategy, consulting, and customer experience with agile engineering and problem-solving creativity.
You'll be passionate about solving real-world problems through the application of machine learning and AI, specifically Generative AI. Your expertise will be crucial in developing and implementing generative AI models and algorithms, retrieval augment generation, and prompt engineering.
Key Responsibilities:
- Develop and implement 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.
Requirements:
- At least ten (10) years of industry experience, preferably with a focus in marketing, consumer goods, and/or consulting.
- Quantitative educational background, preferably in a field related to data science, e.g. Computer Science, Statistics, Mathematics, Engineering, or similar fields.
Benefits:
- Flexible vacation policy; time is not limited, allocated, or accrued.
- 16 paid holidays throughout the year.
- Generous parental leave and new parent transition program.
- Tuition reimbursement.
- Corporate gift matching program.
Pay Range: $140,000 - $200,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
