TRSS
Employer Industry: Technology and Information Services
Why consider this job opportunity
Salary range of $88,200 - $163,800, with the potential for an annual bonus based on performance
Flexible hybrid work model, allowing for 2-3 days in the office per week
Comprehensive benefits including flexible vacation, mental health days, and wellness resources
Opportunities for career development and growth through continuous learning programs
Supportive workplace culture focused on inclusion, flexibility, and work-life balance
Chance to make a meaningful impact in the community through paid volunteer days and social initiatives
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 rapid iteration and retraining of models for data scientists and AI novices
Enable self-service tooling for teams to create and maintain AI models
Continuously enhance the existing platform capabilities and stay updated with new AI offerings
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 practical 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 to Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Hands-on experience in monitoring and log analytics within cloud environments
Strong problem-solving skills and ability to work collaboratively in a team setting
#Technology #SoftwareEngineering #AI #CareerGrowth #HybridWork #InclusiveCulture
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 the potential for an annual bonus based on performance
Flexible hybrid work model, allowing for 2-3 days in the office per week
Comprehensive benefits including flexible vacation, mental health days, and wellness resources
Opportunities for career development and growth through continuous learning programs
Supportive workplace culture focused on inclusion, flexibility, and work-life balance
Chance to make a meaningful impact in the community through paid volunteer days and social initiatives
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 rapid iteration and retraining of models for data scientists and AI novices
Enable self-service tooling for teams to create and maintain AI models
Continuously enhance the existing platform capabilities and stay updated with new AI offerings
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 practical 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 to Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Hands-on experience in monitoring and log analytics within cloud environments
Strong problem-solving skills and ability to work collaboratively in a team setting
#Technology #SoftwareEngineering #AI #CareerGrowth #HybridWork #InclusiveCulture
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