Thomson Reuters
Overview
Employer Industry: Technology and Information Services
Why consider this job opportunity
Salary range of $88,200 - $163,800, with potential for an annual bonus based on performance
Flexible hybrid work model with remote work options for up to 8 weeks per year
Comprehensive benefits package including flexible vacation, mental health days, and wellness resources
Opportunities for career development and continuous learning through structured programs
Award-winning culture focused on inclusion, belonging, and work-life balance
Chance to make a meaningful impact in the community through volunteer opportunities
What to Expect (Job 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 their lifecycle
Develop features that enable data scientists and AI novices to iterate and retrain models efficiently
Create self-service tooling for teams to develop and maintain AI models
Continuously enhance platform capabilities and stay updated with emerging AI technologies
What is Required (Qualifications)
Minimum of 5 years of experience in software engineering
Hands-on experience with public cloud technologies (AWS, Azure, GCP)
Familiarity with AI concepts and experience with AI solutions
Proficiency in modern programming languages, particularly Python
Experience with relational and/or non-relational databases and DevOps practices, including CI/CD
How you can Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Previous experience in building applications for AI/ML workflow development
Strong understanding of monitoring and log analytics tools
#TechnologyJobs #SoftwareEngineering #AI #CloudComputing #CareerGrowth
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, with potential for an annual bonus based on performance
Flexible hybrid work model with remote work options for up to 8 weeks per year
Comprehensive benefits package including flexible vacation, mental health days, and wellness resources
Opportunities for career development and continuous learning through structured programs
Award-winning culture focused on inclusion, belonging, and work-life balance
Chance to make a meaningful impact in the community through volunteer opportunities
What to Expect (Job 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 their lifecycle
Develop features that enable data scientists and AI novices to iterate and retrain models efficiently
Create self-service tooling for teams to develop and maintain AI models
Continuously enhance platform capabilities and stay updated with emerging AI technologies
What is Required (Qualifications)
Minimum of 5 years of experience in software engineering
Hands-on experience with public cloud technologies (AWS, Azure, GCP)
Familiarity with AI concepts and experience with AI solutions
Proficiency in modern programming languages, particularly Python
Experience with relational and/or non-relational databases and DevOps practices, including CI/CD
How you can Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Previous experience in building applications for AI/ML workflow development
Strong understanding of monitoring and log analytics tools
#TechnologyJobs #SoftwareEngineering #AI #CloudComputing #CareerGrowth
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