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Pune · On-site · 3-6 Yrs · Aug 27
Telecommunications Services · 10000+ Employees · Newbury, United Kingdom
In 1985, we made the first ever mobile call on a UK network. From that day, Vodafone UK was born. Since then, we’ve evolved into one of the world’s biggest technology communication companies. With over 12,000 people supporting more than 18 million customers, our purpose is to connect for a better future. A more inclusive, more sustainable world. Join us and you’ll make an impact you can see and feel.
What employees say
+ Good for work life balance
− A lot of politics in a team
More reviews on the company profile.
Interview experience · Deputy Manager
3 Interview round. Technical, managerial and HR. Process was all right. Interviewer asked some basic and some in depth questions. Managerial round was also ok. But HR tried to negotiate salary as low as possible.
Average difficulty · India · 437 reports
More interview insightsJob description
Overview
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
Responsibilities
- Deploy, operationalise, and maintain machine learning models in production environments, ensuring availability, scalability, reliability, and performance.
- Build, optimise, and maintain feature engineering pipelines and reusable data assets that support model development and inference workloads.
- Design, implement, and manage end-to-end MLOps pipelines covering model training, validation, deployment, monitoring, and CI/CD practices.
- Refactor machine learning code into secure, production-ready, maintainable, and reusable services aligned with software engineering standards.
- Monitor model performance, data quality, model drift, system health, and resource utilisation, implementing continuous improvements where required.
- Collaborate with Data Scientists, Software Engineers, Platform Engineers, and business stakeholders to integrate AI and machine learning capabilities into enterprise applications.
- Ensure AI and machine learning solutions comply with enterprise architecture, security, governance, scalability, and operational requirements.
- Drive innovation through automation, reusable engineering patterns, emerging MLOps practices, and modern AI technologies.
- Support production machine learning systems with a focus on deployment, monitoring, optimisation, and operational excellence.
- Contribute to AI platform engineering and the delivery of scalable, integrated AI capabilities across the organisation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- Minimum 3 years of experience in MLOps, Machine Learning Engineering, Data Engineering, or a related software engineering role supporting production environments.
- Strong proficiency in Python and SQL, with working knowledge of Java, Scala, and Apache Spark.
- Familiarity with AI/ML frameworks used for model development, experiment tracking, deployment, and serving.
- Knowledge of Large Language Models (LLMs), including operationalisation, deployment, monitoring, fine-tuning pipelines, or application integration.
- Understanding of data science concepts, experimentation approaches, and model evaluation metrics.
- Ability to convert existing models and pipelines into production-grade solutions and support their ongoing operation.
- Strong coding, debugging, and problem-solving capabilities.
- Understanding of distributed systems, big data technologies, cloud computing principles, and physical server administration.
- Advanced knowledge of SQL and NoSQL technologies including Oracle, PostgreSQL, Hive, HBase, Cassandra, HDFS, AWS S3, and related data platforms.
- Working knowledge of system administration practices.
- Ability to collaborate effectively with cross-functional technical and business teams.
- Opportunity to work on enterprise-scale AI, machine learning, and big data initiatives.
- Exposure to modern cloud-native platforms, MLOps technologies, and AI engineering practices.
- Collaboration with multidisciplinary teams across data science, software engineering, platform engineering, and business functions.
- Involvement in designing and operating scalable AI solutions that have a measurable business impact.
- Opportunity to contribute to innovation, automation, and continuous improvement initiatives within a global technology environment.
- Advanced MLOps lifecycle management and production AI operations.
- Enterprise AI platform engineering and cloud-based machine learning services.
- Model monitoring, drift detection, observability, and operational excellence practices.
- CI/CD implementation for machine learning and AI workloads.
- Large-scale distributed data processing using Spark and Hadoop ecosystems.
- Containerisation and orchestration using Docker and Kubernetes.
- Responsible AI, governance, security, and compliance practices for enterprise AI solutions.
- Integration of LLM-powered capabilities into business applications and services.
- LinkedIn: VOIS LinkedIn
- Facebook: VOIS Facebook
- Instagram: VOIS Instagram
- You can also chat with our employees to learn more about our projects: Employee Connect
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Job application FAQ
Last updated 15 September 2026
- How do I apply for Machine Learning Operations (MLOps) Engineer - VOIS at Vodafone?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Vodafone may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Operations (MLOps) Engineer - VOIS role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Operations (MLOps) Engineer - VOIS remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Operations (MLOps) Engineer - VOIS role at Vodafone?
- This is a mid-level Machine Learning Operations (MLOps) Engineer - VOIS role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.