Senior Data Scientist | Machine Learning Engineer (MLE) hirezy.ai
hirezy.ai
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Maharashtra
Skills: Python, NLP, aws, GCP, Azure, Docker, Kubernetes, spark, Pruning, MLDL, MLOps, Tensorflow, PyTorch, Scikitlearn, Hugging Face, SageMaker, Vertex Ai, cicd, Ray, FAISS, Milvus, Quantization, Model Evaluation, Hyperparameter Tuning, model monitoring
About Hirezy.ai
Job Description
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 and Responsibilities: Design and implement end-to-end ML pipelines from data ingestion to production Develop, fine-tune, and optimize ML models, ensuring high performance and scalability Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc) Automate model retraining, monitoring, and drift detection Collaborate with engineering teams for seamless ML integration Mentor junior team members and enforce best practices Job Type: Full-time Schedule: Day shift Monday to Friday Application Question(s): How soon can you join us Experience: Total: 4 years (Required) Data Science roles: 3 years (Required) Work Location: In person,