Position Details
About this role
This role involves designing, developing, and deploying scalable machine learning applications in a financial services environment, focusing on responsible AI and high-performance systems.
Key Responsibilities
- Design and build ML models
- Develop scalable data pipelines
- Optimize ML systems for performance
- Implement responsible AI practices
- Collaborate with cross-functional teams
Technical Overview
Stack includes Python, Scala, Java, TensorFlow, PyTorch, Spark, and cloud architectures, with a focus on ML model development, deployment, and monitoring.
Ideal Candidate
The ideal candidate is a senior machine learning engineer with at least 6 years of experience designing and deploying data-intensive ML solutions. They possess strong programming skills in Python, Scala, or Java, and have extensive experience with ML frameworks, cloud architectures, 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
Lack of experience with ML frameworks such as TensorFlow or PyTorch, No experience with distributed computing, No minimum of 6 years of relevant experience, Bachelor's degree only without advanced experience
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