Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
About the role
- Senior AI/ML Engineer developing and implementing cutting-edge AI and Machine Learning solutions for Walmart's business growth. Collaborating with teams to design and deploy AI-powered products and services.
Responsibilities
- Design and develop AI/ML models and algorithms to solve complex business problems.
- Collaborate with data scientists and data engineers to integrate AI/ML models with large-scale data systems.
- Develop and maintain AI/ML pipelines, including data preprocessing, feature engineering, model training, and deployment.
- Lead the development of AI-powered products and services, working closely with cross-functional teams.
- Troubleshoot and debug AI/ML models and algorithms, identifying and resolving issues that impact performance and accuracy.
- Stay up-to-date with the latest advancements in AI and ML, applying this knowledge to improve existing solutions and develop new ones.
- Mentor and guide junior engineers and data scientists in AI/ML development.
Requirements
- Bachelor's degree in Computer Science, Computer Information Systems, or related field.
- 7+ years of programming experience in architecting highly scalable and performing Web Applications.
- 5+ years of experience programming in Java/J2EE, Spring Boot, REST Services, and related technologies.
- 3+ years of experience with Cloud technologies.
- 4+ years of developing high transaction high throughput systems.
- 2+ years of experience integrating 3rd party solutions in existing architecture.
- 2+ years of experience in agile ways of working in a distributed geographical model.
Benefits
- Health benefits include medical, vision and dental coverage.
- Financial benefits include 401(k), stock purchase and company-paid life insurance.
- Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
- Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.
Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.