Senior Engineer - Data Science
Axiata Digital LabsColombo, Western Province, Sri Lanka
Posted March 4, 2026
Full Time
About the Company
Axiata Digital Labs is a global software services provider that specializes in telecom‑centric digital and IT solutions for individuals, startups, and enterprises. Leveraging a team of over 1,200 experts across seven countries, the company delivers end‑to‑end services—from digital transformation and cloud computing to AI, IoT, and fintech—using convergent design experiences and reusable platform assets to accelerate business value. As the technology hub of Axiata Group Berhad, a leading Asian telecom conglomerate, it drives innovation in next‑generation digital products and services for the telecommunications sector. Its distinct advantage lies in integrating deep industry knowledge with cutting‑edge technology, enabling rapid deployment of scalable solutions for global customers.
Job Description
Design, develop, and optimize machine learning models for structured and unstructured data. Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch.
Requirements
- Bachelor's degree in IT/Computer Science, Data Science, Engineering, Mathematics, or a related field
- 3+ years of hands-on experience in data science or machine learning engineering roles
- Strong experience with Python and common ML/DL libraries (scikit-learn, PyTorch, TensorFlow, NumPy, pandas)
- Proven experience developing and deploying production-grade ML models
- Hands-on experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, or equivalent)
- Experience working with APIs, microservices, and integrating ML models into enterprise applications
- Solid understanding of data pipelines, feature engineering, and model lifecycle management
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
- Experience applying AIOps techniques in monitoring, observability, or IT/network operations contexts
- Knowledge of time-series analysis, anomaly detection, or large-scale telemetry data
- Familiarity with vector databases, RAG pipelines, and embedding models
- Exposure to API management platforms and security concepts (authentication, rate limiting, governance)
- Experience with CI/CD pipelines for ML and AI systems
- Prior experience in telecommunications, fintech, or large-scale enterprise environments
- Strong analytical and problem-solving skills with a pragmatic, engineering-first mindset
- Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Comfortable working in cross-functional, agile teams
- Self-driven, accountable, and capable of owning solutions end-to-end
- Passion for continuous learning and applying emerging AI technologies responsibly
