Position Details
About this role
This role involves designing and deploying machine learning applications at scale, focusing on model development, monitoring, and responsible AI practices.
Key Responsibilities
- Design ML models
- Build data pipelines
- Deploy and monitor models
- Collaborate with data science teams
- Ensure AI fairness and explainability
Technical Overview
The environment includes programming in Python, Scala, Java, using ML frameworks like TensorFlow and PyTorch, distributed computing with Spark and Dask, and deploying models in production.
Ideal Candidate
The ideal candidate is a senior ML engineer with 4+ years of experience in developing and productionizing machine learning models using frameworks like TensorFlow and PyTorch. They should have strong skills in distributed computing, data pipelines, and responsible AI practices.
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 4 years of experience, No experience with ML frameworks, Lack of experience in productionizing models, No familiarity with responsible AI
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