Related skills
nlp python tensorflow pytorch prompt engineering๐ Description
- Lead client-facing AI/ML project teams.
- Analyze large data sets to derive ML/AI insights.
- Architect and deploy enterprise-scale models in production.
- Use full development lifecycle across cloud and onโprem.
- Serve as primary architect and technical lead; scope work streams and design solutions.
- Coach and mentor junior resources on engagements.
๐ฏ Requirements
- 8+ years AI/ML architecture and delivery experience.
- Master's degree in statistics, math, CS; PhD preferred.
- Python, TensorFlow, PyTorch, or Hugging Face Transformers.
- Strong NLP fundamentals: tokenization, embeddings, language models.
- LangChain, embeddings, LLMs, vector databases, prompts.
- SQL/NoSQL; Hadoop, Spark; distributed data processing.
๐ Benefits
- Competitive salary and comprehensive benefits.
- Health, vision, dental, life insurance; mental health.
- Fertility/adoption benefits; paid parental leave; PTO.
- 14 paid holidays; 401(k) with matching; HSA/FSA options.
- Hybrid work model: 2 remote days, 3 days in-office.
- Omnicom benefits overview at www.omnicombenefits.com.
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