Machine Learning Engineer

Certara is a growing company that provides a dynamic and exciting place to work. Our purpose is to assist in accelerating the development of meaningful medicines that make an impact on our society and the people that need them most. Innovation and creativity are highly valued, and everyone is given the opportunity for training and continuous development. Our portfolio spans the discovery, preclinical, clinical and post-marketing phases of drug development, working with 1,200 commercial companies, 250 academic institutions, and numerous regulatory agencies.

We are seeking an experienced engineer to join our team at CertaraAI as a Machine Learning Engineer. The successful candidate will be responsible for building and maintaining our machine learning and LLM platform at CertaraAI. They will have experience working on a software team as a machine learning engineer, data engineer, or another adjacent position. Finally, they will have a good understanding of software development, machine learning and deep learning theory, and building scalable systems.

• Contribute as part of a high velocity, high performance development team of machine learning engineers and data scientists responsible for driving innovation, building and maintaining our state-of-the-art LLM and machine learning platform.

• Work primarily on backend python applications (generally RESTful APIs or queue-based systems).

• Work on and maintain LLM servers and model management systems.

• Develop stack knowledge required to deploy, test, and troubleshoot the platform on our physical hardware and cloud servers.

• Help guide the direction of the platform and codebases, stay up to date in advancements in LLMs, retrieval, and machine learning.

Requirements:

• 3-5 years of experience in an engineering role focused on machine learning applications.

• Very proficient in Python, Bash, Git.

• Proficient in SQL, application design, Docker, Kubernetes

• Experience with LLM prompt engineering, problem-solving using LLMs, and applying LLMs to real-world use cases.

• Familiar with software development best practices, development cycles, and writing maintainable and effective code.

Preferred Qualifications:

• Master's degree or higher in a relevant field (e.g., data science, computer science, statistics)

• Familiar with retrieval/search systems and vector databases

• Familiar with Nvidia/Cuda

Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.