Ai Software Engineer

Summary

Join our team as an AI Software Engineer to spearhead the development and deployment of predictive models for a wealth management solution. This role demands full-stack development expertise, from database design to user interface optimization. You will be responsible for the entire machine learning model lifecycle, ensuring high-performance and seamless integration. Collaboration with cross-functional teams is crucial for delivering innovative AI-driven solutions. The position is a 3-6 month contract with potential for extension, offering flexibility in work schedule to accommodate GMT overlap. The ideal candidate possesses a strong background in machine learning, full-stack development, and cloud platforms.

Requirements

• Bachelors/Master's degree in computer science/computer engineering
• 2-6 years of experience in machine learning and full-stack development; open to mid-level and senior candidates
• Strong coding skills, with a proven track record of deploying machine learning models and building full-stack applications, particularly using Python
• Experience with machine learning libraries and frameworks, and a solid understanding of deployment practices
• Demonstrated ability to take ownership of projects, self-start, and adapt to new challenges
• Experience with AWS Bedrock and Familiarity with cloud platforms (AWS, GCP, Azure)
• Excellent communication and collaboration skills, with the ability to work across different teams and organizations to deliver solutions

Responsibilities

• Take ownership of the full lifecycle of machine learning models, from data pipelines and databases to deployment and user interface
• Develop, deploy, and optimize machine learning models and solutions, ensuring high-quality production-level code (primarily in Python)
• Measure and optimize the performance of models in production, using industry best practices
• Collaborate with cross-functional teams, including data engineers, designers, and business stakeholders, to deliver AI-driven solutions that enhance user experience and drive business value
• Work on cloud platforms (AWS, GCP, Azure), and specifically AWS Bedrock, to support the scalability and availability of models

Preferred Qualifications

Flexibility to adjust work schedule to overlap with GMT (preferred, but not mandatory)