Role Overview
We are looking for a ML/AI 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, high-performing ML capabilities.

What You’ll Be Doing

• Design, develop, and deploy machine learning models, with a focus 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.

What You’ll Bring

• 4+ years of experience in machine learning engineering or NLP-focused roles.
• Strong understanding of deep learning, LLMs, and modern NLP techniques.
• Hands-on experience fine-tuning LLMs and developing NLP models using Hugging Face Transformers.
• Strong Python skills and experience with PyTorch or TensorFlow.
• Familiarity with model optimization (quantization, pruning, distillation).
• Experience with cloud deployment (AWS, GCP, or Azure) and standard MLOps workflows.

Nice to Haves

• Experience with distributed training for large-scale models.
• Knowledge of model serving frameworks (FastAPI, TorchServe).
• Experience with Docker, Kubernetes, or large-scale ML deployments.