Position Details
About this role
This role involves developing and deploying scalable machine learning algorithms and recommendation systems, working closely with data scientists and product teams to deliver tailored learning experiences.
Key Responsibilities
- Build production ML algorithms
- Develop data pipelines
- Collaborate with data scientists
- Deploy scalable ML services
- Optimize recommendation systems
Technical Overview
Stack includes Python, TensorFlow, Docker, Kubernetes, Node.js, Typescript, with a focus on data pipelines, ML models, and cloud deployment.
Ideal Candidate
The ideal candidate is a mid-level machine learning engineer with at least 3 years of experience, proficient in Python, TensorFlow, data pipelines, containerization, and Kubernetes. They are skilled in deploying scalable ML models and recommendation systems, with strong communication and proactive problem-solving abilities.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of experience, Lack of experience with Python or TensorFlow, No experience with data pipelines or containerization, No knowledge of cloud deployment
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