CLOUD MACHINE LEARNING ENGINEER AWS

VOIS; Pune District; Presencial; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

VOIS (Vodafone Intelligent Solutions) seeks a Cloud ML Engineer (AWS) to design and productionise ML systems, enabling scalable data flows and robust ML pipelines across local markets and group functions.

You will work on end-to-end ML applications on AWS, collaborating with architecture teams to evolve Big Data platform assets and reusable patterns. A strong background in Python/Java, MLOps, and cloud services is required.

Formación

• 5+ years of AI/ML Engineer experience.
• 5+ years of BI or related software development experience.
• Experience designing and deploying end-to-end ML pipelines in production (MLOps).
• Strong programming in Java and Python; containerisation and cloud familiarity required.

Responsabilidades

• Design and develop ML systems and production-ready patterns.
• Automate model training and productionise data science prototypes.
• Develop ML applications aligned to data science requirements.
• Improve data pipelines for ML model quality and efficiency.
• Collaborate with architecture and data teams to evolve Big Data platform capabilities.
• Research new technologies to enhance delivery and sustainability of ML services.
• Define best practices for agile development on the Big Data platform.

Conocimientos

Java

Python

MLOps

Big Data

Data Modeling

Data Architecture

AWS

TensorFlow

Docker/Kubernetes

Spark

Hadoop

Hive

Airflow

SageMaker

CloudFormation

CloudTrail

CodePipeline/CodeBuild/CodeCommit

SageMaker Studio

Educación

3-year IT or IS degree or diploma

Advanced degree in Computer Science/Math/Statistics

Cloud certification (professional or associate level)

Herramientas

Hadoop

Spark

Hive

Yarn

Airflow

TensorFlow

H2O

SageMaker Pipelines

SageMaker Studio

CloudFormation

CloudTrail

SNS

EventBridge

CodePipeline

CodeBuild

CodeCommit

Descripción del empleo

Job Description:

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture

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

• Design and develop machine learning systems and implementation patterns.
• Automate predictive model software, including model training.
• Productionise data science prototypes and develop machine learning applications aligned to data science requirements.
• Facilitate the flow of data between ML/AI models and the organisation’s data systems.
• Enhance data pipelines to ensure data is clean, accurate, and optimised for machine learning models.
• Partner with the architecture team to evolve Big Data platform capabilities (reusable assets/patterns) and components to meet business requirements and objectives.
• Research, investigate, and evaluate new technologies and methods to improve delivery and sustainability of machine learning applications and services.
• Contribute to defining best practice for agile development of applications running on the Big Data platform.

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?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

Whats 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

• 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

Vodafonerecognisesand 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

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, its our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

Follow us on social media

• LinkedIn: https://www.linkedin.com/company/vois/
• Facebook: https://www.facebook.com/voisglobal
• Instagram: https://www.instagram.com/voisglobal/
• You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2