Python-ML-MLOps

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