Sr Officer-Data Science AI​/ML

Responsibilities

• Translate business needs into technical requirements and define model objectives, input data, and success metrics.
• Design, develop, and deploy end-to-end machine learning models (Supervised, Unsupervised, and Reinforcement Learning) to solve complex telco challenges.
• Apply AI/ML techniques to improve network performance and customer experience.
• Build and maintain scalable data pipelines and feature stores using cloud platforms to ensure seamless model training and inference at scale.
• Partner with Network, Technology, and Commercial teams to translate business requirements into technical AI roadmaps and provide actionable insights that drive excellent experience, revenue or cost efficiency.
• Design and execute rigorous experimentation frameworks to validate model performance and business impact, ensuring high accuracy and model stability over time.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Statistics or related field.
• Minimum of 3–6 years of professional experience in Data Science or Machine Learning, particularly in projects involving AI and machine learning with a proven track record of designing and implementing data pipelines and architecture including data ingestion, processing and delivery.
• Professional certifications such as Google Professional Machine Learning Engineer or similar are highly regarded.

• Expert-level programming in Python.
• Hands‑on experience designing multi‑agent systems and orchestration frameworks (e.g., Google ADK, Lang Chain, Auto Gen, or CrewAI).
• Hands‑on experience with ML frameworks such as XGBoost, Scikit‑learn, Tensor Flow, or PyTorch.
• Strong command of SQL and experience with big data technologies (e.g., Big Query, Spark).
• Familiarity with Telco‑specific data structures, network KQIs and subscriber behavioral patterns.
• Familiarity with cloud platforms like Google Cloud Platform (GCP) and their associated data services.
• Familiarity with MLOps lifecycle (CI/CD for ML).
• Familiarity with ETL tools like Apache Airflow or Talend.

• Strong analytical and problem‑solving abilities.
• Excellent communication and teamwork skills to collaborate effectively with various teams.
• Ability to explain complex technical concepts to non‑technical stakeholders and a proactive, problem‑solving mindset.
• Ability to work independently in a dynamic environment.