TRSS
Employer Industry: Legal 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 wellness resources
Supportive workplace culture focused on inclusion and community impact
Chance to contribute to meaningful work that upholds justice, truth, and transparency
What to Expect
Build and maintain software to track the full lifecycle of machine learning from ideation to post-deployment monitoring
Assist in deploying machine learning models into production and support their ongoing lifecycle
Develop features that enable data scientists and AI novices to efficiently iterate and retrain models
Provide self-service tooling for teams to create and maintain AI models
Continuously enhance platform capabilities and stay updated with new AI offerings
What is Required
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 Python and modern programming languages
Experience with DevOps practices including CI/CD in AWS, Git, and monitoring
How to Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Familiarity with relational and/or non-relational databases
#LegalTech #AI #SoftwareEngineering #CareerOpportunities #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
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 wellness resources
Supportive workplace culture focused on inclusion and community impact
Chance to contribute to meaningful work that upholds justice, truth, and transparency
What to Expect
Build and maintain software to track the full lifecycle of machine learning from ideation to post-deployment monitoring
Assist in deploying machine learning models into production and support their ongoing lifecycle
Develop features that enable data scientists and AI novices to efficiently iterate and retrain models
Provide self-service tooling for teams to create and maintain AI models
Continuously enhance platform capabilities and stay updated with new AI offerings
What is Required
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 Python and modern programming languages
Experience with DevOps practices including CI/CD in AWS, Git, and monitoring
How to Stand Out (Preferred Qualifications)
Experience with AWS SageMaker, Azure Studio, or similar cloud AI capabilities
Familiarity with relational and/or non-relational databases
#LegalTech #AI #SoftwareEngineering #CareerOpportunities #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