Cloud Machine Learning Engineer (AWS)
Pune, MH, IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and develop machine learning systems and implementation patterns
Productionise data science prototypes into ML applications
Automate predictive model software, including model training
Enhance data pipelines so data is clean and optimised for ML models
Facilitate data flow between ML/AI models and the organisation's data systems
From the employer’s posting
Design and develop machine learning systems and implementation patterns.
Productionise data science prototypes and develop machine learning applications aligned to data science requirements.
Automate predictive model software, including model training.
Enhance data pipelines to ensure data is clean, accurate, and optimised for machine learning models.
Facilitate the flow of data between ML/AI models and the organisation’s data systems.
Tools in this posting
- Java
- Python
- AWS
- Docker
- Hadoop
- Hive
- Kubernetes
- NoSQL
- SageMaker
- Spark
- Airflow
- TensorFlow
Source — Tool mentions in context
## Who you are * Experience managing the development lifecycle for agile software development projects (Kanban or Scrum exposure). * Robust data modelling and data architecture skills. * Knowledge of Big Data frameworks such as Hadoop, Spark, Hive, Yarn, and Airflow. * Experience with distributed ML frameworks (for example H2O and/or TensorFlow) and various ML libraries. * Proven experience creating and deploying end-to-end ML pipelines in production, including MLOps. * Programming experience in Java and Python. * Experience with containerisation (Docker/Kubernetes) or cloud alternatives is advantageous. * Mandatory working experience with AWS services including: SageMaker Pipelines, SageMaker Studio, CloudFormation, CloudTrail, SNS, EventBridge, CodePipeline, CodeBuild, CodeCommit. * Experience with other distributed technologies, NoSQL databases, and streaming technologies is desirable. * Strong written and verbal communication, with excellent interpersonal and collaboration skills. * Must have technical / professional qualifications: * 3-year IT or IS degree or diploma (or related field) is essential; an advanced degree in Computer Science/Math/Statistics (or related discipline) is an advantage. * Relevant cloud certification at professional or associate level. * 5+ years of relevant experience as an AI/ML Engineer. * 5+ years of BI or related software development experience. ## Not a perfect fit?
## About this Role We are seeking a Cloud ML Engineer (AWS) within Data & Analytics GSL to use ML/AI expertise alongside strong programming and software engineering skills to make machine learning models and analyses easier to use and access. The role supports local markets and group functions to obtain business value from machine learning, and focuses on designing ML systems, productionising prototypes, enabling robust data flows, and evolving Big Data capabilities through reusable assets and patterns. ## What you’ll do
## What's in it for you * Opportunities to deliver business value by enabling scalable ML capabilities for local markets and group functions. * The chance to work on production-grade ML systems, end-to-end pipelines, and MLOps practices on AWS. * Collaboration with architecture teams to shape reusable Big Data platform assets and engineering patterns. * Scope to explore and evaluate new technologies and methods to improve sustainability and delivery of ML applications and services. ## What skills you will learn
## What skills you will learn * Strengthening best practices for productionising data science prototypes into reliable ML applications. * Deepening hands-on expertise in AWS-native MLOps and pipeline automation (including SageMaker and AWS developer tools). * Enhancing Big Data platform design skills through reusable patterns, components, and data pipeline optimisation. * Improving cost and resource efficiency approaches across compute, network usage, and platform objectives. ## VOIS Equal Opportunity Employer Commitment
Posting record
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- Live
- First seen by us
- Sep 5, 2026 · 54 days ago
- Recorded sightings
- 186
- Last seen by us
- Oct 29, 2026
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- Location & working pattern
Pune, MH, IN
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## VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. ## Join Us
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