As an experienced LLM Engineer, you will play a critical role in designing, implementing, and optimizing AI-driven solutions that leverage large language models to meet business goals.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- Minimum of 5 years of experience in machine learning and AI development, with at least 2 years focused on LLMs or NLP
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
- Demonstrated experience in deploying and optimizing LLMs in production environments
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployments
- Advanced proficiency in NLP techniques and AI model development
- Deep knowledge of transformer-based architectures such as GPT, BERT, or T5
- Strong skills in API development and microservice-based architecture
- Familiarity with DevOps tools for AI model deployment (e.g., Docker, Kubernetes)
- Understanding of AI regulations and best practices for ethical AI deployment
- Strong understanding of data preprocessing techniques and dataset management
Benefits
- Competitive compensation package
- Excellent learning and development opportunities (AI, technology, evolving BPO landscape)
- Growth opportunities within an expanding team
- Fully remote working available
- Working alongside a team of high-caliber and dynamic leaders
- Excellent work-life balance culture
Originally posted on Himalayas
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