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.

Requirements

Technical Skills:

• 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.
• Expert-level programming in Python
• Hands-on experience designing multi-agent systems and orchestration frameworks (e.g., Google ADK, LangChain, AutoGen, or CrewAI)
• Hands-on experience with ML frameworks such as XGBoost, Scikit-learn, TensorFlow, or PyTorch
• Strong command of SQL and experience with big data technologies (e.g., BigQuery, 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

• Professional certifications such as Google Professional Machine Learning Engineer or similar are highly regarded.

Soft Skills :

• 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.