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Job Description
Roles & Responsibilities
Solution Development
- Translate customer and product requirements into clear data science and AI implementation tasks.
- Develop, train, test, and deploy ML/DL/GenAI and data pipelines aligned with customer specific use cases.
- Ensure AI components are efficient, maintainable, and production ready, supporting smooth integration with enterprise systems and platforms.
- Contribute to documentation, reproducibility, and knowledge transfer for implemented solutions.
Advanced Technical Contribution
- Act as a subject matter contributor in machine learning, AI and GenAI engineering within delivery teams.
- Apply best practices in feature engineering, model selection, evaluation, and optimization.
- Support MLOps activities such as model versioning, monitoring, retraining, and performance tracking.
- Participate in technical reviews, code reviews, and solution walkthroughs to maintain delivery quality.
Customer Engagement
- Work closely with Enterprise teams to ensure AI solutions address real customer problems and deliver measurable outcomes.
- Explain data science methods, assumptions, and results in a clear and structured way to technical and non technical stakeholders.
- Support customer discussions, demos, and technical clarifications to build confidence in Vodafone s AI capabilities.
Continuous Improvement & Reuse
- Validate model performance, data quality, and technical compliance against defined acceptance criteria.
- Identify and resolve technical issues related to data quality, scalability, latency, or model behavior.
Support solution readiness reviews prior to customer handover, ensuring alignment with agreed technical and business outcomes
Desired Candidate Profile
- Excellent hands on experience with machine learning and deep learning algorithms.
- Strong proficiency in advanced analytics, ML, deep learning, and Generative AI (GenAI).
- Minimum 4 6 years of experience in data science, AI, and analytics roles.
- Proven experience in building and deploying AI/ML models in production environments.
- Good proficiency in data visualization tools (Power BI, Tableau) to communicate insights effectively.
- Solid knowledge of relational databases (e.g., MySQL) for efficient data storage and querying.
- Experience with big data analytics frameworks, including PySpark and Spark clusters.
- Strong skills in data mining, feature engineering, and time series forecasting.
- Good working knowledge of Linux operating systems.
- Exposure to full stack web development is considered a plus.
Must have technical/ professional qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 4 6 years of hands on experience developing and deploying AI/ML models in production environments.
- Strong proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit learn).
- Solid experience in Generative AI and NLP, including working with large language models and frameworks (e.g., Hugging Face, LangChain, OpenAI APIs, agent based frameworks).
- Experience with big data processing and distributed computing (e.g., Apache Spark or equivalent).
- Practical experience deploying AI and data solutions on cloud platforms (e.g., AWS, Azure, GCP) and/or on prem environments.
- Working knowledge of MLOps tools and practices for CI/CD, monitoring, and model lifecycle management
Company Industry
- Telecom
- ISP
Department / Functional Area
- IT Software
Keywords
- Enterprise Data Science Sr. Specialist
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Vodafone
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
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