Senior Data Scientist for AI Development
19 hours ago
About Our Client
Our client is a company that has developed and utilized technology leveraging AI to enable organizations to process complex data seamlessly. They have received sizeable funding and have strong public endorsement from their clients.
Job Summary
We're looking for an experienced Cloud-Native Machine Learning Engineer to join our team. The successful candidate will be responsible for designing and developing cloud-native machine learning applications that meet the needs of our clients.
Key Responsibilities
- Design and develop cloud-native machine learning applications using various technologies such as AWS, Azure, and GCP.
- Collaborate with cross-functional teams, including ML engineers and data scientists, to translate requirements into robust software solutions.
- Ensure the reliability, scalability, and security of software applications through thorough testing and continuous improvement.
- Contribute to the design and architecture of software systems, with a focus on performance optimization and code quality.
Requirements
- A Bachelor's degree in Computer Science, Software Engineering, or a related discipline.
- Strong experience in software development with a focus on building scalable applications.
- Proficiency in Python and experience with other programming languages such as Java, C++, or Go.
- Experience deploying software in production environments, with a solid understanding of CI/CD pipelines.
- A background in developing applications tailored to machine learning products and solutions.
- Able to focus on software engineering aspects, including architecture, design patterns, and code optimization.
- Strong problem-solving skills with a keen eye for detail.
- Excellent communication skills and the ability to work effectively in a remote team environment.
What We Offer
We offer a competitive salary of $190,000 per annum, plus equity and benefits.
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