About the role
Design and deploy machine learning models and AI agent systems for enterprise clients — from data pipelines to production inference at scale.
What you will do
- Develop and deploy ML models and AI agent workflows
- Build data pipelines and feature engineering systems
- Integrate LLMs and AI capabilities into client products
- Evaluate model performance and optimize for production
- Collaborate with engineering teams on MLOps practices
What we are looking for
- 4+ years in ML engineering or applied data science
- Proficiency in Python, PyTorch or TensorFlow
- Experience with LLMs, RAG, or agent frameworks
- Strong understanding of data engineering fundamentals
- Ability to communicate technical concepts to stakeholders
What we offer
- Competitive salary and performance bonuses
- Health, dental, and vision coverage
- Remote and hybrid flexibility
- Professional development budget
- Flexible vacation policy
- Equity opportunities for senior roles
Skills
- Python
- LLMs
- PyTorch
- MLOps
- RAG