Data Scientist - Machine Learning / Deep Learning

Skill Sets :

• Expertise in ML / DL, model lifecycle management, and MLOps (MLflow, Kubeflow)
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models
• Strong experience in NLP, fine-tuning transformer models, and dataset preparation
• Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI)
• Experience in containerization (Docker, Kubernetes) and CI / CD pipelines
• Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning)
• Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection

Roles & Responsibilities :

(ref : hirist.tech)