Python-ML-MLOps

Job description

## **Key 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 ## **Technical Requirements:** - Primary skills Technology Internet of Things IOT IOT Analytics Machine Learning Technology Machine Learning Python ## **Additional Responsibilities:** - Experience with cloud platforms AWS Azure or GCP - Hands on with MLOps tools - MLflow Kubeflow Airflow SageMaker Vertex AI - Knowledge of Docker Kubernetes - Experience with big data tools Spark Hadoop - NLP Computer Vision or Deep Learning specialization - Familiarity with Data Engineering pipelines ## **Preferred Skills:** Technology->AI-Data science->PYTHON,Technology->AI-Physical AI-IOT->IOT Analytics - Machine Learning