JOBILY AI SUMMARY
What you'll do
- Design, develop, and deploy machine learning models focusing on LLMs and NLP applications
- Fine-tune pre-trained LLMs for domain-specific use cases
- Implement model optimization techniques such as quantization to improve performance
- Build and maintain ML pipelines using Hugging Face Transformers, PyTorch, or TensorFlow
- Run experiments, evaluate model performance, and ensure robustness and reliability
- Collaborate with software engineers to integrate ML models into MLOps and production systems
Key requirements
- 4+ years' experience
- Machine Learning with focus on LLMs and NLP
- Fine-tuning pre-trained large language models
- Model optimization techniques including quantization, pruning, and distillation
- Proficiency in Hugging Face Transformers, PyTorch, TensorFlow, and Python
- Cloud deployment skills and familiarity with MLOps workflows
Benefits
- Monthly allowance for meals, private health & life insurance, tools to stay connected, access to Udemy for learning, coaching and mentorship programs, collaboration with industry-leading clients, annual discretionary bonus, and volunteering opportunities.
About the job
We are looking for a Machine Learning Engineer for our client. In this role, you will be responsible for designing ML models, optimizing LLMs for NLP tasks, and deploying production-ready solutions across our AI platform. You will work closely with engineering and data teams to build scalable…


