Machine Learning Resident for Theragraph involved in developing solutions for health datasets. Collaborating in a cross - functional team under the mentorship of an Amii Scientist.
About the role
- Senior Manager leading development for Evisort AI with a high-performing team. Drive technical excellence and deliver robust AI agent solutions within the Workday ecosystem.
Responsibilities
- Build, lead, and mentor a team of exceptional AI agent engineers.
- Ensure timely project delivery to exceptional standards of our AI agents.
- Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions
- Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
- Foster a culture of innovation, collaboration and continuous improvement and learning.
- Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph)
- Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
- Ensure all AI solutions adhere to data privacy, security, and compliance standards
- Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
- Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.
Requirements
- 5+ years of experience in machine learning engineering leadership
- 10+ years of experience with design and development for mission critical systems at scale
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI
- Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
- Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
- Strong problem-solving, communication, and collaboration skills.
- Experience with the Workday platform is a strong plus.
Benefits
- Workday Bonus Plan
- Annual refresh stock grants
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior ML Engineer leading the scaling and innovation of machine learning initiatives at Wisedocs. Collaborating with other engineers to integrate the ML system into the platform for insurance tech.
Lead ML Engineer developing scalable data pipelines and ML systems for Newfold Digital. Collaborate with cross - functional teams using Python, SQL, and cloud ML platforms in an applied ML environment.
Senior Machine Learning Engineer designing and optimizing ML/AI systems for digital forensic tools. Collaborating with cross - functional teams to lead initiatives and drive innovation in digital investigations.
Senior MLOps Engineer focusing on applied MLOps for CreatorIQ, bridging data science and production - grade efficiency. Responsible for annotation workflows and cost - efficient model evaluation.
Senior AI/ML Engineer leading design and deployment of high - impact AI solutions at CloudWerx. Bridging predictive modeling with next - generation Agentic AI to solve client challenges.
Machine Learning Resident developing AI - assisted tools for geotechnical site characterization. Involves collaboration with scientists and engineers to develop predictive ML models.
A(
Machine Learning Resident at Hines Health Services focusing on AI - driven medical workforce solutions. Supporting the development of scalable, AI - powered recruitment platforms over a 6 - month residency.
Software Engineer, Machine Learning developing next - generation AI technologies for clinical trial platforms. Building scalable data pipelines, optimizing model performance, and collaborating with cross - functional teams in a hybrid setting.
Senior Machine Learning Engineer at BenchSci focusing on developing machine learning models for biomedical applications. Collaborating with a team to enhance scientific experiments through AI - driven solutions.