
Lead Data Scientist
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: New York City • New York • United States
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Salary
💰 $160,000 - $220,000 per year
Job Level
About the role
- Review and optimize code for AI applications deployed on Google Cloud Platform
- Provide architectural and technical guidance for enterprise-scale AI solutions
- Design and implement strategies for scaling LLMs in production environments
- Apply prompt engineering, reinforcement learning from human feedback (RLHF), and retrieval-augmented generation (RAG) to enhance model performance
- Work with multi-modal AI models (text, image, video, and audio synthesis)
- Collaborate on open-source AI projects or contribute to AI research publications
- Implement A/B testing, user feedback loops, and AI-driven personalization strategies
- Fine-tune and deploy LLMs and transformer-based architectures using frameworks such as Hugging Face, OpenAI, TensorFlow, and PyTorch
Requirements
- Proven experience with Google Cloud Platform and its AI/ML services
- Strong background in enterprise AI applications and production-level scaling of LLMs
- Hands-on experience with prompt engineering, RLHF, and RAG techniques
- Familiarity with multi-modal AI models and generative AI technologies
- Contributions to open-source AI projects or published research in AI
- Expertise in A/B testing, personalization, and feedback-driven optimization
- Proficiency in fine-tuning and deploying LLMs using modern AI frameworks
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI applicationscode optimizationarchitectural guidancetechnical guidancescaling LLMsprompt engineeringreinforcement learning from human feedbackretrieval-augmented generationfine-tuning LLMstransformer-based architectures
Soft Skills
collaborationcommunicationuser feedback loopspersonalization strategies