Data Scientist - Machine Learning/Deep Learning

<p><p><b>Skill Sets :</b><br/><br/>- Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow)<br/><br/>- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models<br/><br/>- Strong experience in NLP, fine-tuning transformer models, and dataset preparation<br/><br/>- Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI)<br/><br/>- Experience in containerization (Docker, Kubernetes) and CI/CD pipelines<br/><br/>- Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning)<br/><br/>- Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection<br/><br/><b>Roles & Responsibilities :</b><br/><br/>- Design and implement end-to-end ML pipelines from data ingestion to production<br/><br/>- Develop, fine-tune, and optimize ML models, ensuring high performance and scalability<br/><br/>- Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc)<br/><br/>- Automate model retraining, monitoring, and drift detection<br/><br/>- Collaborate with engineering teams for seamless ML integration</p><br/></p> (ref:hirist.tech)