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nlp aws pytorch mlops llms📋 Description
- Lead and mentor a 5-10 engineer ML team; drive roadmap and cross-functional delivery.
- Design, develop, and fine-tune LLMs and ML models for business use.
- Architect scalable ML solutions on AWS; optimize pipelines; ensure security.
- Oversee ML lifecycle from research to production; implement MLOps/LLMOps.
- Lead team development and communication; code reviews; stakeholder updates.
- Stay ahead of LLM advances and apply emerging technologies.
🎯 Requirements
- Experience with LLMs and NLP frameworks (Hugging Face, OpenAI, Anthropic).
- Strong AWS Cloud Services expertise.
- 2+ years in a leadership role in ML/AI.
- Hands-on Python, TensorFlow/PyTorch, and model optimization.
- Familiarity with MLOps tools and best practices.
- Strong communication and cross-functional leadership; mentoring passion.
🎁 Benefits
- Long-term B2B collaboration.
- Fully remote setup.
- Comprehensive private medical insurance or budget for medical needs.
- Paid sick leave, vacation, public holidays.
- Continuous learning support, including unlimited AWS certification sponsorship.
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