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Reuters News

Compare

2.1

based on 2 Reviews

27 Reuters News Jobs

Lead Software Engineer, AI Platform

Reuters News Agency

2.1

based on 2 Reviews

7-12 years

Bangalore / Bengaluru

1 vacancy

Lead Software Engineer, AI Platform

Reuters News

posted 3mon ago

Job Role Insights

Key skills for the job

Data Science Python Computer Networking Architecture Machine Learning Clinical Data Management

+ 4 more

Job Description

In this role you will help to develop , build, design, continuously improve , and support the AI Platform at Thomson Reuters. You will participate in all stages of development, use various software and tools, and enabling self-service tools for data science teams.
The role also involves designing, developing, integrating, and deploying tools for Data Science, GenAI and Machine Learning (ML) Research.
The successful applicant will design and operate a framework for Machine Learning Operations ( MLOps ), advise on software engineering for ML, and ensure consistency with cloud architectural principles.
The role requires continuous evolution of the platform and keeping up to date with new technologies .
Applicants should have 7 years of software engineering experience, hands-on experience with a public cloud technology (AWS, Azure , or GCP ), experience with service-oriented programing and design, microservices architecture, and serverless application model.

A good candidate should have good experience with LLMs and GenAI, A WS SageMaker , Azure ML or similar Cloud AI capabilities .

Proficiency in modern programming languages such as Python, JavaScript, TypeScript is required , while also b eing comfortable developing with other languages such C/C++, Java, Rust, and Go .

Have e xperience with relational and non-relational databases, integration, and Agile development methodologies .

DevOps experience and an understanding of frontend development are also important.
The role requires technical leadership and a positive attitude.

About the role:

Build and evolve the AI Platform which includes being able to assess the current architecture and map to the target state.
Participate in all aspects of the development lifecycle: Ideation, Design, Build, Test and Operate
Utilize a variety of software and tools both commercial and open source .
Enable self-service tooling for data science teams to create and maintain models .
Design, develop, integrate, and deploy tools for Data Science, GenAI and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.
Be able to design, implement, and operate a framework for Machine Learning Operations ( MLOps ). Design, evaluate, and advise on the day-to-day work of Software Engineering for Machine Learning
Ensure consistency with cloud architectural guiding principles .
Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings .

About You

7 years experience in Software Engineering
Hands-on experience working with at least one public cloud technology (AWS, Azure)
Experience with service-oriented and/or microservices architecture
Experience with LLMs and GenAI, AWS SageMaker , Azure ML, or similar Cloud AI capabilities
Proficiency in modern programming languages such as Python, JavaScript, TypeScript, C/C++, Java.
Experience with relational and non-relational databases
Experience with Agile development and delivery - Scrum, Lean, XP, Kanban methodologies.
Hands on DevOps experience - CI/CD in AWS, Git, GitHub, Monitoring, Log Analytics and others.
A good understanding of frontend development (UI/UX concepts and frameworks, HTML, CSS, and Javascript ) is an asset and a strong differential for this role.
Technical leadership including being able to break down high level requirements to features

A can do attitude , with a great sense of ownership and teamwork.
Ability to develop prototypes, showcase new functionalities to the rest of the team , demonstrate implementation patterns, advise , and guide other team mem bers .
Ability to find problems and chase , then lead the team to solve them end to end.
Ability to thrive in global teams with peers in different time zones .