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42 Coursera Jobs
Machine Learning Engineer
Coursera
posted 5hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Work very closely with ML scientists and help them with model deployment in the production systems
- Work very closely with ML scientists to find and solve engineering pain-points by building scalable, general-use platforms
- Build scalable and reliable infrastructure and pipelines for data/feature processing and storage and also scalable training and evaluation infrastructure and pipelines to accelerate model development
- Automate ML workflows to enhance productivity across training, evaluation, testing, and results generation
- Partner with cross functional stakeholders to define a long-term vision for scaling ML/AI applications in production and help teams with their roadmap plannings
Basic Qualifications:
- BS in Computer Science, or related area with 3 Years minimum Machine Learning Scientist or Engineer industry experience
- Highly skilled with Java development, Python and SQL/MySQL.
- Highly skilled with proficiency in ML ops with experience in building large-scale ML applications, services, pipelines and architecture
- Solid understanding and experience in system design of ML systems (design pattern, OOD, architecture, modules, interfaces, etc)
- Highly skilled with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLflow etc)
- Experience with containerization such as Docker and Kubernates
Preferred Qualifications:
- MS in Computer Science, or related area with 1 Years minimum Machine Learning Engineer industry experience or Ph.D in iComputer Science, or related area
- Understanding in machine learning theory and practice, and experience using machine learning tools (Scikit-Learn, TensorFlow, PyTorch etc.)
- Understanding and experience working with cloud-based solutions, especially AWS, Databricks
- Experience with CI/CD pipelines, integrated tests and test-driven development
- Experience with microservice architectures such as RESTful web-services
If this opportunity interests you, you might like these courses on Coursera:
- Machine Learning Engineering for Production (MLOps) Specialization
- Computer Vision for Engineering and Science Specialization
- Natural Language Processing Specialization
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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