Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the creation, testing, and implementation of machine learning models and pipelines.

• Design and enhance GenAI/LLM-based models to optimize and automate operations in clinical trials.

• Collaborate with clinicians, informaticists, data scientists, and engineers to develop solutions that align with Paradigm’s mission and objectives.

• Spearhead improvements in model deployment infrastructure, create monitoring tools, and boost model performance.

• Guide junior machine learning engineers and actively participate in team knowledge-sharing initiatives.

⛳️ Requirements

• Over 5 years of experience as a machine learning engineer.

• Extensive knowledge in training, fine-tuning, and deploying machine learning models, with particular experience in GenAI/LLMs.

• Proficient in Python and SQL, and well-versed in cloud infrastructure and ML engineering best practices.

• Experience in managing production-level pipelines, encompassing model deployment, monitoring, and continuous integration.

• Strong analytical capabilities and a cooperative approach to tackling complex challenges across teams.

🏝️ Benefits

• Competitive salary.

• Flexible working hours.

• Professional development budget.

• Home office setup allowance.

• Global team events.