Vodafone

Cloud Machine Learning Engineer – AWS

Vodafone

full-time

Posted on:

Location Type: Office

Location: 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSCloudDockerHadoopJavaKubernetesNoSQLPythonSparkTensorflowYarn

About the role

  • Design and develop machine learning systems and reusable patterns.
  • Automate predictive model workflows, including training and deployment.
  • Productionise data science prototypes and build ML applications aligned with business requirements.
  • Facilitate data flow between ML/AI models and enterprise data systems.
  • Enhance data pipelines for accuracy, cleanliness, and optimisation for ML models.
  • Collaborate with architecture teams to evolve Big Data capabilities and reusable assets.
  • Research and evaluate emerging technologies to improve ML application delivery and sustainability.
  • Contribute to defining best practices for agile development on Big Data platforms.

Requirements

  • Experienced in managing agile software development lifecycles (Scrum/Kanban).
  • Strong data modelling and architecture skills.
  • Proficient in Big Data frameworks (Hadoop, Spark, Hive, Yarn, Airflow).
  • Hands-on experience with distributed ML frameworks (H2O, TensorFlow) and ML libraries.
  • Skilled in creating and deploying end-to-end ML pipelines in production environments.
  • Expertise in MLOps practices.
  • Programming proficiency in Java and Python.
  • Familiarity with containerisation (Docker/Kubernetes) and cloud alternatives.
  • Mandatory experience with AWS services (SageMaker Pipelines, CloudFormation, CloudTrail, SNS, EventBridge, CodePipeline, CodeBuild, CodeCommit, SageMaker Studio).
  • Desirable experience with NoSQL databases and streaming technologies.
  • Excellent communication, collaboration, and interpersonal skills.
  • Holds a relevant IT/IS degree or diploma; advanced degree in Computer Science/Math/Statistics is advantageous.
  • Professional or associate-level cloud certification preferred.
  • Minimum 5+ years as an AI/ML Engineer and 5+ years in BI or related software development.
Benefits
  • Opportunity to work on cutting-edge ML and AI technologies within a global organisation.
  • Exposure to advanced AWS services and Big Data platforms.
  • Collaborative work environment with cross-functional teams across multiple geographies.
  • Career growth through continuous learning and certifications.
  • Be part of a team driving innovation and transformation in the telecom industry.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdata modellingBig Data frameworksHadoopSparkHiveYarnAirflowMLOpsprogramming in Java
Soft skills
communicationcollaborationinterpersonal skillsagile developmentproblem-solvingresearchevaluationfacilitationbest practices definitionoptimisation
Certifications
IT/IS degreeadvanced degree in Computer Scienceadvanced degree in Mathadvanced degree in Statisticscloud certification