
Senior Large Language Model Engineer
1 week ago
Role Summary:
We are seeking a skilled and experienced Large Language Model (LLM) Engineer to join our team. The successful candidate will have expertise in developing, deploying, and monitoring LLMs at scale.
Key Responsibilities:
- Design and implement large-scale machine learning models using Python and relevant libraries
- Develop and deploy AI-powered applications on cloud and on-premises environments for production use cases
- Collaborate with cross-functional teams to integrate ML models into existing systems and infrastructure
- Conduct thorough performance tuning, testing, and evaluation of LLMs to ensure optimal results
- Maintain and improve data pipelines for model training and deployment
- Work closely with DevOps and MLOps teams to ensure seamless integration and operation of ML models
Requirements:
- 3-5 years of experience in working on ML projects, including business requirement gathering, model development, training, deployment, and monitoring
- Strong knowledge of Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps, and other relevant technologies
- Experience with proprietary and open-source large language models, as well as fine-tuning and creating distilled models from hosted LLMs
- Experience in building data pipelines for model training and deployment
- Experience with CI/CD pipelines and Kubernetes
- Working knowledge of one or more cloud platforms (AWS, GCP, Azure)
Desirable Skills:
- Background in DevOps and MLOps
- Experience with collaborative code versioning tools like GitHub/GitLab
- Team player with good communication and presentation skills
Additional Information:
The ideal candidate will possess strong technical skills, excellent problem-solving abilities, and effective communication skills. If you are passionate about AI and ML engineering, we encourage you to apply for this exciting opportunity.
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