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Large Language Model Developer
6 days ago
About the Job:
This Large Language Model Developer role is ideal for someone who is passionate about building and deploying AI models that drive business value. As a member of our team, you will have the opportunity to work on cutting-edge projects and collaborate with talented engineers and researchers.
Key Responsibilities:
- Building GenAI applications and solutions while addressing challenges like hallucinations, bias, and latency, and ensuring optimal performance and reliability
- LLM Agents & Intelligent Automation: Develop and integrate LLM agents with open-source and in-house tools to enable adaptive, AI-powered systems and workflows
- End-to-End AI Solution Delivery: Lead the full lifecycle of NLP and GenAI projects, including ideation, model development, fine-tuning, deployment, and continuous monitoring to ensure reliable performance in production environments
- Advanced LLM Fine-Tuning: Apply cutting-edge techniques such as LoRA, PEFT, and others to fine-tune LLMs for specific business use cases, driving meaningful outcomes as needed
- Model Deployment & Scaling: Architect and manage scalable deployment pipelines, ensuring optimal performance through robust monitoring, error handling, and retraining strategies
- Lead & Mentor: Provide strategic leadership and mentorship to a team of data scientists and AI engineers, fostering a culture of excellence, innovation, and collaboration
What You'll Bring:
- Hands-On Leadership: Proven experience in hands-on development and leading teams of NLP and GenAI models, with a demonstrated ability to scale solutions in real-world environments
- LLM Expertise: Deep understanding of LLM Models, their fine-tuning and the quantization methodologies
- LLM Agents Knowledge: Practical experience building and deploying AI Agents using open-source frameworks
- Model Lifecycle Mastery: Expertise in deploying, managing, and monitoring machine learning models, with a strong focus on scaling and operationalizing them in production
- AI Performance Optimization: Deep expertise in model evaluation, addressing hallucinations, biases, and other performance issues, ensuring continuous model improvement
Salary: $180,000 - $220,000 per year, depending on experience
Benefits:
- Comprehensive health insurance
- 401(k) matching program
- Flexible work arrangements
- Professional development opportunities
How to Apply:
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