AI Engineer (Life Sciences & Healthcare)
Tasks
- Build end-to-end AI/ML pipelines
- Collaborate with data scientists and product teams
- Deploy and monitor AI/ML models
- Design machine learning models for production
- Develop microservices backend services
- Implement CI/CD and MLOps
- Integrate AI capabilities using APIs
- Monitor model reliability accuracy and stability
- Optimize model performance scalability latency and cost
Perks/Benefits
- Additional vacation days
- English courses
- Flexible work options
- Health insurance
- Hybrid work
- Internal conferences
- Meetups
- Mentorship
- Non technical training
- Referral program
- Remote work
- Sports activities
- Support for personal growth
- Technical training
- Work anniversary program
Skills/Tech-stack
AI Agents | AWS | Azure | C# | CI/CD | Cost Optimization | Data Pipelines | Deep learning | Distributed Systems | GCP | Language Models | Large Language Models | Latency optimization | MLOps | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Model versioning | PyTorch | Python | RAG | REST APIs | Scikit-learn | Streaming systems | TensorFlow | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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