Thomson Reuters
Senior Software Engineer, AI Platform
Thomson Reuters, Saint Paul, Minnesota, United States, 55199
Overview
Employer Industry: Information Services
Why consider this job opportunity
Salary range of $88,200 - $163,800
Opportunity for an annual bonus based on performance
Flexible hybrid working environment with options for remote work
Comprehensive benefits package including flexible vacation, mental health days, and tuition reimbursement
Career development programs designed to foster continuous learning and growth
Chance to make a meaningful impact in the community through volunteer initiatives
Responsibilities
Build and maintain software that tracks the full lifecycle of machine learning from ideation to post-deployment monitoring
Assist in deploying machine learning models into production and support them throughout their lifecycle
Develop features that facilitate rapid iteration and re-training of models for data scientists and AI novices
Enable self-service tooling for teams to create and maintain models
Continuously enhance the platform capabilities and keep up to date with new offerings
Qualifications
Minimum of 5 years of experience in Software Engineering
Hands-on experience with public cloud technology (AWS, Azure, GCP)
Familiarity with AI concepts and practical experience with AI solutions
Proficiency in modern programming languages, particularly Python
Experience with relational and/or non-relational databases and DevOps practices (CI/CD in AWS, Git, Monitoring, Log Analytics)
Preferred Qualifications
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Strong understanding of AI/ML development and deployment processes
Proven ability to work collaboratively in a team-oriented environment
Experience in building and operating AI tooling and workflows
#InformationServices #SoftwareEngineering #AI #MachineLearning #CareerGrowth #RemoteWork
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Why consider this job opportunity
Salary range of $88,200 - $163,800
Opportunity for an annual bonus based on performance
Flexible hybrid working environment with options for remote work
Comprehensive benefits package including flexible vacation, mental health days, and tuition reimbursement
Career development programs designed to foster continuous learning and growth
Chance to make a meaningful impact in the community through volunteer initiatives
Responsibilities
Build and maintain software that tracks the full lifecycle of machine learning from ideation to post-deployment monitoring
Assist in deploying machine learning models into production and support them throughout their lifecycle
Develop features that facilitate rapid iteration and re-training of models for data scientists and AI novices
Enable self-service tooling for teams to create and maintain models
Continuously enhance the platform capabilities and keep up to date with new offerings
Qualifications
Minimum of 5 years of experience in Software Engineering
Hands-on experience with public cloud technology (AWS, Azure, GCP)
Familiarity with AI concepts and practical experience with AI solutions
Proficiency in modern programming languages, particularly Python
Experience with relational and/or non-relational databases and DevOps practices (CI/CD in AWS, Git, Monitoring, Log Analytics)
Preferred Qualifications
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Strong understanding of AI/ML development and deployment processes
Proven ability to work collaboratively in a team-oriented environment
Experience in building and operating AI tooling and workflows
#InformationServices #SoftwareEngineering #AI #MachineLearning #CareerGrowth #RemoteWork
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr