Data Scientist

As a highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps, your role will involve designing, optimizing, and deploying cutting-edge AI solutions. You will be responsible for tasks such as model development, fine-tuning, deployment, and scalability. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs, and implementing deployment pipelines for production environments. Key Responsibilities: - Design, train, fine-tune, and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks such as text generation, summarization, and semantic similarity. - Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques. - Build and maintain end-to-end ML pipelines for training, evaluation, and deployment. - Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT. - Optimize models for low-latency, high-throughput inference through techniques like quantization and distillation. - Implement CI/CD workflows for ML systems using tools like MLflow and Kubeflow. - Set up logging, monitoring, and alerting for model performance in terms of drift, latency, and accuracy. - Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models. Qualifications Required: - 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. - Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks. - Experience with model deployment tools such as Docker, Kubernetes, and FastAPI. - Knowledge of MLOps/LLMOps best practices including model versioning, A/B testing, and canary deployments. - Familiarity with cloud platforms like AWS, GCP, and Azure. It is preferred if you have experience contributing to open-source LLM projects.,