Remote AI Software Engineer

Description:

• Our client is a private equity firm specializing in investments in tech-driven financial services companies, with $6 billion in capital raised and a focus on driving innovation in the financial services sector.
• We are seeking an AI Software Engineer to lead the end-to-end development and deployment of predictive models for a wealth management solution.
• This role will involve everything from database design to user interface, including full-stack development and optimization of machine learning model performance.
• The position offers flexibility to adjust work schedule to overlap with GMT, although this is preferred but not mandatory.
• The contract type is for 3-6 months with the potential for extension.

Requirements:

• A Bachelor's or Master's degree in computer science or computer engineering is required.
• Candidates should have 2-6 years of experience in machine learning and full-stack development; both mid-level and senior candidates are welcome to apply.
• Strong coding skills are essential, 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, along with a solid understanding of deployment practices, is necessary.
• Candidates must demonstrate the ability to take ownership of projects, self-start, and adapt to new challenges.
• Experience with AWS Bedrock and familiarity with cloud platforms such as AWS, GCP, and Azure is required.
• Excellent communication and collaboration skills are essential, with the ability to work across different teams and organizations to deliver solutions.

Benefits:

• The position offers the opportunity to work remotely from Brazil, Argentina, or Montevideo.
• Candidates will gain experience in a dynamic environment focused on innovation in financial services.
• The role provides the chance to work with cutting-edge technologies and cloud platforms.
• There is potential for contract extension beyond the initial 3-6 months, allowing for continued engagement with the project.