Manager Cloud ML Engineer Pune
Pune, IN
Vodafone
Vodafone is a leading technology communications company in Europe and Africa, keeping society connected and building a digital future. Find out more!Join Us
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.
What you’ll do
- Design and develop Machine Learning systems and patterns
- Automate predictive model software, including model training
- Productionise data science prototypes and develop Machine Learning apps according to data science requirements
- Facilitate the flow of data between ML/AI models and the company’s data systems
- Enhancing data pipelines to ensure that data is clean, accurate and optimized for machine learning models
- Work with the architecture team to evolve the Big Data capabilities (reusable assets/patterns) and components to support the business requirements/objectives
- Research, investigate and evaluate new technologies and methods to improve delivery and sustainability of machine learning applications and services
- Make contributions to the process of defining best practice for the agile development of applications to run on the Big Data Platform
Who you are
Experience in AWS services (Sagemaker Pipelines, CloudFormation, CloudTrail, SNS, Eventbridge, CodePipeline, CodeBuild, CodeCommit, Sagemaker Studio etc.)
Knowledge of Big Data frameworks like Hadoop, Spark, Hive, Yarn, Airflow.
ML frameworks like H2O and TensorFlow
ML Libraries like Scikit Learn etc
Docker/Kubernetes
Python Programming
Working experience with other distributed technologies, NoSQL databases and streaming technologies would be desirable
Must have technical / professional qualifications:
- 3-year IT or IS degree or diploma or related field is essential
- Advanced degree in Computer Science/Math/Statistics or a related discipline would be an advantage
- Relevant cloud certification at professional or associate level
- 5+ years of relevant experience as AI/ML Engineer
Not a perfect fit?
Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.
Who we are
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.
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
Together we can.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Big Data CloudFormation Computer Science Data pipelines Docker Hadoop Kubernetes Machine Learning Mathematics ML models Model training NoSQL Pipelines Python Research SageMaker Scikit-learn Spark Statistics Streaming TensorFlow
Perks/benefits: Career development
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