Senior AI/ML Engineer – Service Assurance
Orange Business Services6 months ago
Gurgaon, IndiaSenior
Responsibilities
- Own end-to-end AI/ML model development for anomaly detection, event correlation, root cause analysis, and capacity or traffic forecasting.
- Build and industrialize agentic AI capabilities such as LLM-based triage copilots, telemetry and topology reasoning agents, and natural-language observability interfaces.
- Explore service and network data, perform feature engineering, train and evaluate models, and deploy production-grade solutions.
- Engineer pipelines that ingest, transform, and prepare high-volume metrics, logs, alarms, tickets, and topology data.
- Implement model versioning, automated testing, ML CI/CD, and continuous monitoring for data and model drift.
- Expose AI/ML and agentic capabilities as documented, reusable components integrated with dashboards, alerts, and operational workflows.
- Collaborate with AI leads and service-assurance stakeholders to define high-impact use cases and communicate business impact and trade-offs.
Requirements
- 5+ years of software and/or ML engineering experience, including at least 3 years building and deploying production AI/ML models.
- Strong Python proficiency and experience with data science and machine-learning libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Strong SQL skills and experience with at least one distributed data-processing framework such as Spark or Flink.
- Hands-on experience with MLOps tooling and practices, including model versioning, deployment, and drift monitoring.
- Solid knowledge of machine-learning algorithms for anomaly detection, classification, and time-series forecasting.
- Experience exploring logs, metrics, events, and topology data, assessing data quality, and deriving features.
- Understanding of agentic AI concepts including LLM-based agents, tool-calling, and reasoning.
- Familiarity with observability platforms such as Splunk, ELK, or Prometheus.
- Strong analytical, problem-solving, and communication skills for working with technical and non-technical stakeholders.
- Master’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
- Preferred qualifications include Splunk or equivalent observability experience in telecom or IT operations and exposure to service assurance or network operations concepts such as alarms, incidents, SLAs, topology, and OSS/BSS.
Benefits
- Flexible working hours with the possibility of combining office and home work in a hybrid arrangement.
- Global collaboration opportunities with multinational teams and customers.
- Training, upskilling, and reskilling programs.
- Internal career growth and mobility opportunities.
- Health and well-being programs, diversity and inclusion initiatives, CSR activities, and employee events.
- Employee Referral Program and Change Maker Awards.
Tech Stack
Categories
About Orange Business Services
Orange Business Services is the enterprise arm of Orange S.A., headquartered in Paris, providing managed connectivity, cloud, cybersecurity, and unified communications to multinational companies and the public sector. It sells network and digital integration services—such as SD‑WAN, 5G, IoT/M2M, and collaboration—across more than 60 countries via long-term contracts and managed service agreements. The unit operates globally with deep telecom infrastructure backing from its parent carrier.