Gen AI Architect - Telecom Network AI/ML Engineer

About the Role

SRINAV INFO SYSTEMS PRIVATE LIMITED is seeking an experienced Gen AI Engineer specialized in Telecom Networks to enhance network operation intelligence through automation and analytics. This full-time position, based in Chennai, requires working onsite five days a week, focusing on leveraging Artificial Intelligence and Machine Learning technologies to optimize OSS platforms like NetAct, and RAN/Core networks. The role demands converting telecom operational challenges into scalable AI-powered solutions to boost network reliability, efficiency, and automation.

Key Responsibilities

• Design, develop, and deploy AI/ML models addressing telecom use cases such as network anomaly detection, fault prediction, root cause analysis, traffic forecasting, capacity planning, and predictive maintenance.
• Handle diverse network data including structured and unstructured KPIs, alarms, logs, and performance metrics.
• Collaborate closely with OSS platforms (e.g., NetAct, SON) and network management systems, integrating AI models within RAN and Core network architectures.
• Implement AIOps solutions enabling closed-loop automation driven by AI insights.
• Construct and maintain data pipelines ingesting telecom data using big data technologies like Spark, Kafka, and Hadoop, ensuring data quality and performing preprocessing and feature engineering.
• Integrate AI models within CI/CD pipelines, facilitating continuous deployment and lifecycle management using containerized environments such as Docker and Kubernetes.
• Work with cross-functional teams and stakeholders in use case identification, solution architecture, and implementation.
• Adhere to governance, security, and compliance standards, including telecom regulations and data privacy, ensuring model explainability and robust governance practices.

Required Skills and Experience

• 5 to 8 years of professional experience in AI/ML with strong expertise in machine learning and deep learning methodologies.
• Proficiency in Python programming and libraries including NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch.
• Demonstrated experience in time-series analysis, anomaly detection, and predictive modeling.
• Solid understanding of telecom domain concepts and architecture, particularly with OSS tools like NetAct, SON, EMS/NMS.
• Familiarity with data engineering concepts, ETL pipelines, and big data platforms.
• Exposure to DevOps practices and cloud-native MLOps, including container orchestration with Docker and Kubernetes.

Preferred Additional Skills

• Experience with AIOps platforms and monitoring/observability tools.
• Knowledge of 5G and ORAN ecosystem standards.
• Hands-on experience with Generative AI applications such as log analysis, root cause automation, and AI assistants.
• Familiarity with cloud infrastructures like AWS, Azure, or Google Cloud Platform.
• Understanding network automation frameworks.

Soft Skills

• Analytical thinker with strong problem-solving abilities.
• Capability to collaborate effectively within global and cross-functional teams.
• Skilled in communicating technical concepts to both technical and business audiences.
• Proactive and self-driven with ownership mentality.

Success Metrics

• Reduction in network incidents and mean time to repair (MTTR).
• Enhanced accuracy and performance of predictive models.
• Greater automation levels within network operations.
• Accelerated detection and resolution of network issues.
• Demonstrable business value realized through AI insights.

Additional Information

• Work location: Chennai, India; specifically CGI Office at DLF Chennai and client location at Kandanchavady on Old Mahabalipuram Road.
• Work mode: Onsite, general shift, Monday through Friday.
• Education requirement: BE/B.Tech/ME/M.Tech preferred, however, graduation is not strictly required to apply.