Future Connections

Program Manager

• Lead the end-to-end delivery of technical projects, coordinating developers, data engineers, and infrastructure specialists to ensure on-time, high-quality outcomes.
• Plan and run Agile ceremonies (sprint planning, backlogs, stand-ups, retrospectives) using tools such as Jira to keep delivery on track.
• Manage client relationships: negotiate scope, timelines, and expectations, deciding when to accommodate a request and when to hold the line to protect quality or delivery.
• Translate complex technical requirements into clear, actionable project plans.
• Anticipate risks, dependencies, and blockers, and coordinate across teams to resolve them.
• Work closely with technical teams on solutions involving Python, cloud platforms (Azure), and deployment/orchestration pipelines, understanding trade-offs rather than just tracking tasks.

Programme Manager

QA Automation Engineer

• Design and implement LLM-based agents for OSS tasks
• Automate and augment OSS workflows
• Integrate agents with OSS/NMS systems
• Reason over network telemetry
• Build evaluation and monitoring frameworks for agent accuracy

AI/ML Engineer – OSS Automation

Data Scientist

• Design, develop and deploy advanced AI/ML models for telecom use cases such as: Network optimization, Traffic prediction and anomaly detection, QoS/QoE modeling and root cause analysis
• Apply and adapt state-of-the-art AI techniques, including: Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning for network optimization, Time-series modeling at scale
• Work deeply with real telecom network data (3G/4G/5G), understanding KPIs, counters, and traffic dynamics
• Build production-ready solutions, ensuring scalability, performance, and reliability
• Collaborate closely with data engineers and telecom experts to integrate AI models into real systems
• Act as a technical reference within the team, contributing to best practices and code quality
• Explore and apply Generative AI and LLM-based approaches to telecom use cases

Senior Data Scientist

Backend Engineer

• Design, develop and maintain backend services in Python
• Build and optimize ETL pipelines for large-scale data processing
• Work with structured and unstructured data, ensuring data quality and consistency
• Develop data ingestion, transformation, and integration processes
• Deploy and manage applications in cloud environments (AWS, Azure or GCP)
• Containerize applications using Docker and contribute to scalable architectures
• Analyze datasets to extract insights and support technical decision-making
• Ensure code quality, performance, and maintainability

Programme Manager

AI/ML Engineer – OSS Automation

Senior Data Scientist

Data Engineer, Python