Cloud Machine Learning Engineer (AWS) - VOIS at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Big Data, MLOps, AWS, Java, Python, Hadoop, Spark, Hive, TensorFlow, Docker, Kubernetes, NoSQL, Agile, Data Modelling, Cloud Computing

Industry

Telecommunications

Description

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. 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. 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.

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Responsibilities

Design and develop machine learning systems and automate predictive model workflows. Collaborate with architecture teams to enhance data pipelines and facilitate data flow between ML models and enterprise data systems.