Python-ML-MLOps

Technical Requirements: • Primary skills:Technology->Internet of Things (IOT)->IOT Analytics - Machine Learning,Technology->Machine Learning->Python Responsibilities: Required Skills & Qualifications: 3–5 years of experience in Python development for data/ML applications. Strong understanding of Machine Learning algorithms (supervised, unsupervised, NLP, etc.). Hands-on experience with ML libraries/tools: Scikit-learn, TensorFlow, PyTorch, XGBoost Experience in building and managing ML pipelines. Solid knowledge of MLOps concepts: Model versioning (MLflow, DVC) CI/CD pipelines Model deployment & monitoring Experience with REST APIs (FastAPI/Flask). Strong knowledge of data structures, algorithms, and statistics. Experience with SQL and NoSQL databases. Preferred Skills: Technology->AI-Data science->PYTHON,Technology->AI-Physical AI-IOT->IOT Analytics - Machine Learning