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8 hours ago
Role Overview:
We're seeking an accomplished machine learning professional to lead our engineering team. This position requires expertise in large language model–based systems and hands-on experience in building advanced models.
Key Responsibilities:- Design, fine-tune, and deploy large language model–based systems using techniques like prompt engineering and retrieval-augmented generation.
- Develop production-grade, reusable, and scalable code in Python and SQL, leveraging libraries like LangChain and LangGraph.
- Architect and optimize deployment pipelines on cloud platforms (Azure, AWS, or GCP), ensuring CI/CD, scalability, and cost-efficiency.
- Translate complex technical concepts into actionable insights for product owners, data scientists, and domain SMEs.
- Provide technical leadership, coach junior team members, and foster a culture of best practices in machine learning and LLM engineering.
- 5+ years of professional experience in developing and deploying ML models in production environments.
- At least 1 year of practical experience working with large language models and generative AI, including prompt design and RAG pipelines.
- Proven ability to set and guide a technical roadmap for engineering teams.
- Advanced programming proficiency in Python and SQL with strong expertise in LangChain/LangGraph.
- Familiarity with cloud ecosystems (Azure, AWS, or GCP) and modern DevOps practices.
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