Machine Learning Engineer
Core
Building and scaling machine learning models and Large Language Model (LLM) applications for regulatory submission content automation.
Role type
Machine Learning Engineer (LLM & MLOps)
Builds
Production ML models and LLM applications for regulatory content automation
Domain
Biotechnology / Regulatory Technology
Deliverable
production ML models
Required skills
Machine learning algorithms, Python, TensorFlow, PyTorch, Scikit-learn, langchain, AWS/GCP/Azure, MLOps pipelines, model monitoring, A/B testing
Preferred skills
Custom LLM solutions, Docker, Kubernetes, CI/CD, data engineering
Technologies
OpenAI GPT 4, Claude, Gemini, TensorFlow, PyTorch, Scikit-learn, langchain, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Develop and deploy LLM applications; Build and maintain MLOps pipelines; Implement DevOps/MLOps/LLMOps best practices; Develop monitoring systems for model performance; Conduct A/B testing and experimentation; Collaborate with data scientists and product teams
Seniority
Mid-Senior (5-8 years experience)