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successfactors

AGM - Data Scientist

Vodafone Idea Limited
Pune, IND
Senior · 7+ years experience
Onsite
Discovered 1 weeks ago
awsazuredatabricksdockergcpkafka

Full Job Posting

Key Responsibilities

  • Develop ML solutions for anomaly detection, forecasting, classification, clustering, NLP and predictive analytics . Apply AI/ML to telecom datasets including network KPIs, alarms, events, logs, configurations and service-performance data . Build GenAI/LLM applications, RAG pipelines, semantic search and Agentic AI workflows . Develop scalable batch and streaming data pipelines using Python, SQL, Spark, Kafka or similar technologies. Implement MLOps practices covering model versioning, CI/CD, deployment, monitoring, drift detection and retraining. Design production-ready AI services using APIs, microservices and containerized architectures. Apply Responsible AI, security, privacy, governance and AI guardrails . Collaborate with SNOC, Performance, Engineering and IT teams to translate operational problems into scalable AI solutions. Required Skills & Experience 7+ years of experience in Data Science, AI/ML or Advanced Analytics. Strong hands-on expertise in Python, SQL and Machine Learning . Experience with scikit-learn, PyTorch, TensorFlow or equivalent . Hands-on experience with GenAI, LLMs, RAG, Embeddings, Vector Databases, Classical ML and Deep Learning. Exposure to Agentic AI frameworks such as LangGraph, LlamaIndex, AutoGen or CrewAI. Experience with MLOps platforms such as MLflow, Kubeflow, Azure ML, SageMaker or equivalent. Experience handling high-volume data using Spark, Kafka, Databricks or similar platforms . Strong analytical, problem-solving and stakeholder communication skills.

Preferred Qualifications

  • Experience in telecom/network performance analytics . Knowledge of network anomaly detection, outage prediction, RCA, forecasting and network optimization . Experience with Azure/AWS/GCP, Docker, Kubernetes and microservices . Understanding of Responsible AI and AI governance Education Bachelor’s degree in computer science , Data Science, AI, Statistics, Engineering or a related quantitative discipline . Master's degree or relevant AI/ML certification is an advantage.
  • 7+ years of experience in Data Science, AI/ML or Advanced Analytics. Strong hands-on expertise in Python, SQL and Machine Learning . Experience with scikit-learn, PyTorch, TensorFlow or equivalent . Hands-on experience with GenAI, LLMs, RAG, Embeddings, Vector Databases, Classical ML and Deep Learning. Exposure to Agentic AI frameworks such as LangGraph, LlamaIndex, AutoGen or CrewAI. Experience with MLOps platforms such as MLflow, Kubeflow, Azure ML, SageMaker or equivalent. Experience handling high-volume data using Spark, Kafka, Databricks or similar platforms . Strong analytical, problem-solving and stakeholder communication skills. Preferred Qualifications: Experience in telecom/network performance analytics . Knowledge of network anomaly detection, outage prediction, RCA, forecasting and network optimization . Experience with Azure/AWS/GCP, Docker, Kubernetes and microservices . Understanding of Responsible AI and AI governance Education Bachelor’s degree in computer science , Data Science, AI, Statistics, Engineering or a related quantitative discipline . Master's degree or relevant AI/ML certification is an advantage.

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