Machine Learning Engineer – Network Observability Job in Bangalore at London Stock Exchange Group

LSEG is hiring for the role of Machine Learning Engineer – Network Observability!

Responsibilities of the Candidate:

• Build and deploy ML models for anomaly detection, traffic prediction, fault classification, and RCA using network telemetry.
• Develop time series forecasting and pattern detection solutions using ARIMA, LSTM, Prophet, and deep learning methods.
• Build generative AI models to synthesize alerts, summaries, incident reports, and predictive insights.
• Develop LLM-based applications for network log summarization, intelligent querying, and remediation suggestion generation.
• Explore and implement Agentic AI frameworks for autonomous observability and self-healing network systems.
• Engineer scalable ML pipelines for real-time data processing and model deployment.
• Integrate ML models with observability tools (Prometheus, Splunk, Grafana, DataDog, Snowflake).
• Collaborate with data engineers and network authorities to ensure clean, actionable data pipelines.
• Conduct A/B testing, model monitoring, drift detection, and continuous performance tuning.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field
• Certifications in ML, MLOps, or cloud platforms (AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer)
• Experience in network analytics, financial services, or observability-focused ML applications
• Publications, patents, or open-source contributions in ML/AI or observability domains