TRSS
Overview
Employer Industry: Technology and Information Services Why consider this job opportunity
Salary up to $163,800 Opportunity for career advancement and growth within the organization Flexible hybrid work model with the option to work remotely for up to 8 weeks per year Comprehensive benefits package including flexible vacation, mental health days, and tuition reimbursement Supportive workplace culture focused on inclusion and belonging Chance to make a real-world impact through social initiatives and community involvement 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 the deployment of machine learning models into production and support these models throughout their lifecycle Develop features that enable data scientists and AI novices to iterate and retrain models efficiently Enable self-service tooling for teams to create and maintain models Continuously evolve the existing platform capabilities and stay updated with new AI offerings What is Required (Qualifications)
Minimum of 5 years in Software Engineering Hands-on experience with public cloud technology (AWS, Azure, GCP) Familiarity with AI concepts and hands-on 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) How to Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities Prior experience in building AI/ML workflows and applications #Technology #SoftwareEngineering #AI #CareerOpportunity #HybridWorkModel 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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Employer Industry: Technology and Information Services Why consider this job opportunity
Salary up to $163,800 Opportunity for career advancement and growth within the organization Flexible hybrid work model with the option to work remotely for up to 8 weeks per year Comprehensive benefits package including flexible vacation, mental health days, and tuition reimbursement Supportive workplace culture focused on inclusion and belonging Chance to make a real-world impact through social initiatives and community involvement 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 the deployment of machine learning models into production and support these models throughout their lifecycle Develop features that enable data scientists and AI novices to iterate and retrain models efficiently Enable self-service tooling for teams to create and maintain models Continuously evolve the existing platform capabilities and stay updated with new AI offerings What is Required (Qualifications)
Minimum of 5 years in Software Engineering Hands-on experience with public cloud technology (AWS, Azure, GCP) Familiarity with AI concepts and hands-on 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) How to Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities Prior experience in building AI/ML workflows and applications #Technology #SoftwareEngineering #AI #CareerOpportunity #HybridWorkModel 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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