Lead Software Engineer, AI Platform

AI Platform

The role also involves designing, developing, integrating, and deploying tools for Data Science, GenAI and Machine Learning (ML) Research.

The successful applicant will design andoperatea 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 keepingup to datewithnew 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-orientedprograming and design,microservices architecture,and serverless applicationmodel.

A good candidateshould havegoodexperiencewith LLMs and GenAI, AWSSageMaker, AzureMLor similar Cloud AI capabilities.

Proficiencyin modern programming languages such as Python, JavaScript, TypeScriptisrequired, while also being comfortable developingwithotherlanguages suchC/C++, Java,Rust,and Go.

Haveexperience 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 thetargetstate.
• 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 andmaintainmodels.
• 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, andoperatea 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, AWSSageMaker, Azure ML, or similar Cloud AI capabilities
• Proficiencyin 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, LogAnalyticsand others.
• A good understanding of frontend development (UI/UX concepts and frameworks, HTML, CSS, andJavascript) is an asset and a strong differential for this role.
• Technical leadership including being able to break down high level requirements tofeatures
• Acan do attitude,witha greatsenseof ownership andteamwork.
• Ability to develop prototypes,showcasenew functionalitiesto the rest of the team,demonstrateimplementation patterns, advise,and guide otherteammembers.
• Ability tofindproblemsandchase, then lead the team tosolve themend to end.
• Ability to thrive in global teams with peers in differenttimezones.