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21 Coursera Jobs
Machine Learning Engineer
Coursera
posted 18d 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
Read full job descriptionPrepare for Machine Learning Engineer roles with real interview advice
Top Coursera Machine Learning Engineer Interview Questions
Q1. What are the different marketing automation platforms and data analytics platforms you have experience with
Q2. What's your experience with different marketing channels like push notification, email marketing, sms
Q3. How will you choose a new marketing automation platform for your organization
What people at Coursera are saying
What Coursera employees are saying about work life
based on 33 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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