Generative AI- ML Engineer with Telecommunications (Telco/OSS)

Job description

Position Description Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Your future duties and responsibilities Job Title: AI/ML Engineer Position: Senior Software Engineer Experience: 3-7 Years Position ID: J0526-0786 Category: Software Development Shift: General Shift Work Mode: Work from office all 5 Days Primary location: Chennai, India CGI Office: DLF Chennai Client location: Kandanchavady, Old Mahabalipuram Road, Chennai Employment Type: Full Time Education : BE/B.tech/ME/M.Tech **Required Qualifications To Be Successful In This Role** Position Description : We are looking for an experienced AI/ML Engineer with strong Telecom Network domain expertise to drive intelligent automation and analytics across network operations. The role focuses on applying AI/ML techniques to OSS platforms (e.g., NetAct), RAN/Core networks, and network data to improve performance, reliability, and operational efficiency. The ideal candidate should have a blend of AI/ML capabilities, telecom domain understanding, and data engineering exposure, with the ability to convert business/network problems into scalable AI solutions. Analyse existing applications and systems to identify opportunities for AI-driven enhancements, and drive AI-led innovation by proposing high-impact use cases to improve operational efficiency, automation, and overall system performance. Key Responsibilities - AI/ML Solution Development for Telecom - Design and implement AI/ML models for telecom use cases such as - Network anomaly detection - Fault prediction and root cause analysis - Traffic forecasting and capacity optimization - Predictive maintenance - Work with structured and unstructured network data (KPIs, alarms, logs, performance metrics) - Telecom Domain Integration (OSS / RAN / Core) - Work closely with OSS platforms (e.g., NetAct), SON, and network management systems - Understand RAN/Core network architecture and integrate AI models into operational workflows - Translate network-level challenges into data-driven solutions - AI-Driven Automation & AIOps - Implement AIOps capabilities for: Incident prediction and reduction Automated alert correlation Intelligent ticketing and prioritization - Enable closed-loop automation using AI insights - Data Engineering & Pipeline Development - Build and manage data pipelines for ingesting telecom data from multiple sources - Work with big data technologies (e.g., Spark, Kafka, Hadoop – preferred) - Ensure data quality, preprocessing, and feature engineering - AI Integration in DevOps / CI-CD - Integrate AI models into CI/CD pipelines for continuous deployment and monitoring - Enable model lifecycle management (MLOps) - Work with containerized environments (Docker, Kubernetes) - Stakeholder Collaboration - Collaborate with: Network operations teams OSS/NetAct engineers DevOps and platform teams - Participate in use case identification, solution design, and implementation discussions - Governance, Security & Compliance - Ensure compliance with data privacy, security, and telecom regulations - Implement best practices for model governance and explainability Must-Have Skills :- AI / ML - Strong experience in Machine Learning / Deep Learning - Hands-on with Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) - Experience in time-series analysis, anomaly detection, predictive modeling Telecom Domain - Strong understanding of: RAN / Core / OSS architectures Network KPIs, alarms, logs, performance metrics - Hands-on exposure to OSS tools (e.g., NetAct, SON, EMS/NMS) is a strong advantage Data & Platforms - Experience with: SQL / NoSQL databases Data processing tools (Spark preferred) - Understanding of data pipelines and ETL processes DevOps / Cloud - Exposure to: Docker, Kubernetes CI/CD tools (Jenkins, GitLab, etc.) - Understanding of MLOps concepts Good-to-Have Skills : - Experience with AIOps platforms or observability tools - Knowledge of 5G / ORAN ecosystems - Exposure to GenAI use cases (log analysis, RCA, automation assistants) - Familiarity with cloud platforms (AWS/Azure/GCP) - Understanding of network automation frameworks Soft Skills : - Strong analytical and problem-solving mindset - Ability to work in cross-functional and global teams - Effective communication with both technical and business stakeholders - Proactive and ownership-driven approach Key Success Metrics - Reduction in network incidents and MTTR - Improved prediction accuracy and model performance - Increased automation in network operations - Faster issue detection and resolution - Business impact through AI-driven insights CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs **Together, as owners, let’s turn meaningful insights into action.** Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an own