Job Summary:We are seeking an ML Engineer to bridge the gap between machine learning experimentation and production deployment. This role focuses on building scalable, reliable systems to serve machine learning models in real-time and batch environments, ensuring high performance and operational efficiency.
Key Responsibilities:- Build and deploy APIs and services to serve machine learning models
- Optimize model inference for speed, scalability, and efficiency
- Develop automated pipelines for model training, testing, and deployment
- Integrate machine learning services into production applications
- Monitor model performance, reliability, and system health in production environments
Required Qualifications:- 7-10 years of software engineering experience with a focus on machine learning systems
Preferred Qualifications:- Strong software engineering skills with proficiency in Python
- Experience building REST APIs and microservices
- Familiarity with Docker, Kubernetes, and cloud platforms
- Understanding of the machine learning lifecycle and deployment challenges
