AI Software Engineer

February 20

Apply Now

Receive Emails with Similar Jobs

HopHR

WebsiteLinkedInAll Job Openings

HopHR is a recruitment company specializing in matching top-tier Machine Learning, AI, Data Science, and Big Data talent with companies ranging from startups to Fortune 500 enterprises. The company boasts a streamlined hiring process facilitated by an innovative AI-powered platform that ensures a high submission-to-interview rate. HopHR champions diversity-centric recruitment, actively sourcing diverse talent pools in the ML/AI and data sectors, placing a significant focus on female tech talent. Its services include recruitment outsourcing and building diverse talent pipelines, primarily serving sectors like healthcare, finance, and technology. HopHR's platform integrates AI sourcing tools and matching algorithms, facilitating a quick and efficient hiring process.

Marketplace for Hiring Data Scientists • Staffing & Recruiting • Machine Learning • Big Data • Analytics

11 - 50 employees

🎯 Recruitment

🤖 Artificial Intelligence

👥 HR Tech

📋 Description

•Company Overview: •Our client is a private equity firm specializing in investments in tech-driven financial services companies. •With $6 billion in capital raised, and focus on driving innovation in the financial services sector. •Job Overview: •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. •Schedule •Flexibility to adjust work schedule to overlap with GMT (preferred, but not mandatory). •Contract type •3-6 month contract with potential for extension

🎯 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.