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Job Description
Roles & Responsibilities
Solution Implementation
- Translate customers requirements into actionable data science tasks and implementation plans.
- Lead the development, training, and deployment of AI models and data pipelines tailored to customer-specific requirements.
- Ensure models and AI components are scalable, efficient, and production-ready, with smooth integration into customer systems and enterprise platforms.
Technical Leadership
- Serve as the subject matter expert (SME) in machine learning, data science, and AI engineering practices.
- Provide hands-on technical guidance to data scientists, engineers, and MLOps teams, ensuring accurate and effective implementation.
- Lead technical squads through virtual collaboration, guaranteeing solutions are built to meet both customer expectations and technical standards.
Decision Execution
- Validate model performance, data quality, and technical fit before solution handover.
- Collaborate with the Enterprise Tech Leads and Product Owners to review and confirm solution readiness based on business impact, feasibility, and model validation results.
- Provide input on task prioritization based on complexity, risk, and technical dependencies.
Customer Support
- Work alongside the Enterprise team to ensure implemented AI solutions meet business outcomes and address real customer needs.
- Explain data science approaches, results, and business insights in a clear and accessible manner to both technical and non-technical stakeholders.
- Contribute to building customer confidence in Vodafone s AI capabilities by ensuring reliable and transparent solution delivery.
Value Realization
- Identify technical opportunities to improve performance, accuracy, and efficiency of existing AI solutions.
- Recommend data science enhancements and automation strategies that can further strengthen the customer s business outcomes.
Contribute to refining reusable assets, components, and best practices for enterprise AI delivery
Desired Candidate Profile
Customer-Focused Execution
- Strong communication skills to understand solution requirements in collaboration with Enterprise Tech leads and Product Owners and translate them into data science tasks.
- Ability to present data-driven insights, model performance, and implementation results in a clear, business-relevant manner.
Problem Solving and Innovation
- Strong analytical thinking and debugging skills to address real-world AI deployment challenges (e.g., model drift, data quality, latency).
Creativity in designing tailored AI pipelines that are both effective and maintainable in production.
Collaboration and Delivery Leadership
- Proven ability to collaborate with engineers, data scientists, MLOps specialists, and architects to deliver high-quality AI solutions.
Leadership in execution: mentoring technical team members, performing code reviews, and ensuring delivery excellence.
Must-Have Technical / Professional Qualifications
- Bachelor s or master s degree in computer science, Data Science, Artificial Intelligence, or a related field.
- 5 7 years of hands-on experience in developing and deploying AI/ML models in production environments.
- Advanced proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong expertise in building advanced Generative AI (GenAI) and Natural Language Processing (NLP) applications using modern large language models and frameworks (e.g., Hugging Face, Langchain, OpenAI APIs, Agents Frameworks).
- Experience with big data processing and distributed computing using Apache Spark or similar technologies.
- Proficiency in building, deploying, and managing AI, GenAI and big data applications on cloud platforms (e.g., AWS, Azure, GCP).
Experience with MLOps tools and techniques for versioning, CI/CD, monitoring, and scaling models
Company Industry
- Telecom
- ISP
Department / Functional Area
- IT Software
Keywords
- Enterprise AI Solutions Technical Lead
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Vodafone
At Vodafone, we re not just shaping the future of connectivity for our customers we re shaping the future for everyone who joins our team. When you work with us, you re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.