Position Details
About this role
A senior machine learning engineer role focused on productionizing ML applications at scale within a financial services environment.
Key Responsibilities
- Design and build ML models
- Collaborate with cross-functional teams
- Ensure high availability of ML systems
- Implement CI/CD pipelines
- Monitor and retrain models
Technical Overview
Environment involves designing and deploying ML models using Python, Scala, Java, leveraging cloud platforms like AWS, Azure, or GCP, with emphasis on model validation, monitoring, and responsible AI.
Ideal Candidate
The ideal candidate is a senior machine learning engineer with over 8 years of experience in designing and deploying ML solutions, proficient in Python, Scala, and Java, with cloud deployment expertise in AWS, Azure, or Google Cloud. They possess leadership skills and a strong understanding of responsible and explainable 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 cloud platforms (AWS, Azure, GCP), Less than 8 years of relevant experience, No leadership experience in ML projects, No proficiency in Python, Scala, or Java
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