Machine Learning Engineer

• →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.

• 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.

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

Excited to Make an Impact? Apply today and be part of what we’re building together 🙂

At SILVARE, we are committed to diversity, equity, and inclusion in all aspects of our workplace. We welcome applicants from all backgrounds and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or any other characteristic protected by law.