Senior Machine Learning Engineer
Core
Lead LLM/NLP Research Engineer guiding technical direction and building/deploying AI systems for personalized treatments in drug discovery.
Role type
Lead LLM/NLP Research Engineer
Builds
Next-gen ML pipelines processing biomedical documents and NLP models for pharmaceutical literature
Domain
Drug Discovery & Healthtech
Deliverable
production ML models
Required skills
Transformers, LLMs, Hugging Face, spaCy, SparkNLP, PyTorch, TensorFlow, Airflow, Docker, Kubernetes, team leadership, medical-grade AI evaluation
Preferred skills
PostgreSQL, Elasticsearch, Qdrant, ML APIs, AWS/GCP, GitLab CI, Terraform, Ansible, scale-up environment experience
Technologies
PyTorch, TensorFlow, Airflow, Docker, Kubernetes, Hugging Face, spaCy, SparkNLP, PostgreSQL, Elasticsearch, Qdrant, AWS, GCP, GitLab CI, Terraform, Ansible
Responsibilities
Design and develop ML pipelines for real-time biomedical document processing; Architect NLP models for biomedical/pharmaceutical literature; Define evaluation frameworks for model quality and compliance; Drive MLOps strategy for scalable deployment and monitoring; Lead and mentor a small team of engineers and researchers
Seniority
Lead, hands-on IC with mentorship