Job Summary
A company is looking for a Senior Machine Learning Engineer who will operationalize machine learning models and ensure their scalability and reliability in production environments.
Key Responsibilities
- Own the full lifecycle of machine learning models in production, from POC handoff through deployment and monitoring
- Build scalable data pipelines and production-grade ML services using best practices in software engineering
- Collaborate with data scientists to translate research prototypes into maintainable production code
Required Qualifications
- 5+ years of experience deploying and maintaining machine learning models in production
- Strong software engineering skills with experience in building distributed systems, APIs, and backend services
- Experience with big data technologies such as Spark, Hadoop, and cloud platforms (AWS, GCP, Azure)
- Expertise in machine learning lifecycle tools and libraries like TensorFlow, PyTorch, and scikit-learn
- Solid foundation in SQL and data manipulation with large-scale datasets
Comments