Legalfy
Infrastructure Engineer
Remote
·
Full time
We are building a world class team of technical talent focused on changing the Legal AI space. Our team of Harvard Law School graduates, experienced in Big Law, have built multi million dollar AI applications for 33 Fortune 500 companies over the last 10 years. This team is now focused on revolutionizing Legal AI. We are seeking talented and ambitious individuals to join our team and help us build the future of AI. Whether you are a seasoned AI expert or just starting your career in AI, we welcome innovative thinkers who are eager to learn and grow with us. We are looking for individuals who are driven, curious, and ready to take on new challenges.
Description
About the role:
We are seeking a skilled AI Infrastructure Engineer to design, build, and maintain the infrastructure required for our AI and machine learning projects. The ideal candidate will have a strong background in computer science, cloud computing, and AI technologies, with a focus on scalability, reliability, and performance.
Responsibilities:
- Design, implement, and maintain scalable infrastructure for AI and machine learning projects.
- Collaborate with data scientists and software engineers to deploy and operationalize ML models.
- Monitor and optimize the performance of AI infrastructure to ensure reliability and efficiency.
- Stay up-to-date with the latest advancements in AI infrastructure technologies and best practices.
- Develop and maintain documentation for AI infrastructure and processes.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
- Strong programming skills, with experience in languages such as Python, Java, or C++.
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Familiarity with AI and machine learning concepts and frameworks.