FAQs
What kind of technologies will I work with as a Machine Learning Engineer?
You will work with machine learning and artificial intelligence solutions, develop state-of-the-art machine learning pipelines, and utilize tools such as Python, SQL, and various orchestration and MLOps platforms.
What level of education is required for this position?
A Bachelor’s or Master’s degree with 2 years of experience in a relevant field is required, or a Ph.D. degree in a quantitative discipline such as artificial intelligence, computer science, or applied mathematics.
Is experience in the healthcare industry necessary?
While prior experience in the healthcare industry is beneficial, it is not strictly necessary. Candidates with experience in technology or start-ups may also qualify.
What programming languages should I be proficient in?
Proficiency in Python and SQL is required for this position.
Will I need to build visualizations as part of my role?
Yes, building impactful visualizations is a key responsibility for this position.
What type of projects will I be involved in?
You will be involved in developing machine learning and AI solutions to improve global drug development processes, as well as contributing to patient modeling and trial simulations.
Are there any specific tools or frameworks that I should be familiar with?
Yes, familiarity with building ETL frameworks, AWS Glue, and orchestration/MLOps tools such as Jenkins, MLFlow, or Airflow is preferred.
Is communication with cross-functional leaders part of the job?
Yes, a key aspect of the role is to clearly articulate technical methods and results to cross-functional leaders to facilitate decision-making.
What skills are essential for success in this role?
Essential skills include strong machine learning knowledge, excellent interpersonal and communication skills, and the ability to work in agile development teams.
Do I need to have experience with Linux environments?
Yes, proficiency in a Linux environment is required for this position.