ML Engineer
Role details
Job location
Tech stack
Job description
- Model Deployment: Build APIs and services to serve ML models.
- Optimization: Improve model inference speed and scalability.
- Pipelines: Develop automated pipelines for training and deployment.
- Integration: Embed ML services into production applications.
- Monitoring: Track model performance and reliability in production.
Requirements
- 7-10 years of software engineering experience, with a focus on machine learning systems, * Strong software engineering background (Python required).
- Experience with REST APIs and microservices.
- Familiarity with Docker, Kubernetes, and cloud platforms.
- Understanding of ML lifecycle and deployment challenges.
Benefits & conditions
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($x - x/hourly ) . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.