Job Description

Role & responsibilities Design, implement, and deploy ML models to detect spam, fraud, and grey routes in SMS and Voice traffic. Implement real-time anomaly detection and predictive analytics. Work with big data frameworks (Kafka, Spark, Flink, Hadoop) for large-scale processing. Preprocess, clean, and normalize structured and unstructured telecom datasets. Deploy and optimize ML models using TensorFlow, PyTorch, or Scikit-learn. Ensure data security, compliance, and model interpretability. Preferred candidate profile Education: B.Tech / M.Tech / MCA Preferred Qualification: Experience with MLOps, CI/CD for ML models (MLflow, Kubeflow, Airflow). Knowledge of cloud-based AI solutions (AWS Sagemaker, Google AI, Azure ML). Certifications in AI/ML, Data Science, or Telecom Securit y. ML & AI: Supervised, unsupervised learning, anomaly detection, NLP. Programming: Python (TensorFlow, PyTorch, Scikit-learn), SQL. Data Processing : Pandas, NumPy, SQL, and Spark for large-scale data processing. Big Data & Streamin g: Kafka, Spark, Hadoop, Flink. Databases: MySQL, PostgreSQL, MongoDB, Cassandra. Model Deployment : Docker, Kubernetes, AWS Sagemaker, Azure ML, Google AI Platform.