AI Engineer (m/f/n)
Warszawa, Województwo mazowieckie, Poland
R
PLN 282K-402K (estimate) Senior-level Full Time
Tasks
- Build API endpoints for real time interaction
- Build LLM workflows with LangChain
- Build Python back end systems for GenAI model deployment
- Create data pipelines for preprocessing and post processing
- Deploy AI applications with Docker and Kubernetes
- Develop and deploy models with Hugging Face Transformers
- Develop secure scalable microservices for AI deployment
- Fine tune LLMs to improve performance
- Handle sensitive data and maintain model performance
- Implement CI/CD pipelines for automated testing and deployment
- Implement caching solutions for application performance
- Integrate LLMs into web applications via APIs
- Manage cloud infrastructure for model training storage and deployment
- Use vector databases for embeddings similarity search
Perks/Benefits
- Cross-functional collaboration
- Flexible work arrangement
- International environment
- Remote work
- Training opportunities
Skills/Tech-stack
API Development | AWS Lambda | Amazon Web Services | Apache Kafka | Azure | Best practices | CI/CD | Cloud platform | Continuous Deployment | Continuous integration | Data Preprocessing | Data Privacy | Data postprocessing | Docker | Embeddings | Faiss | Generative AI | Git | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Large Language Models | Machine Learning | Machine Learning Pipelines | Microservices | NoSQL | ONNX | OpenAI | Pinecone | PyTorch | Python | Redis | SQL | Security best practices | Serverless architecture | Similarity Search | Streaming Architectures | TensorFlow | Vector Databases | Weaviate | Web Services
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Learning Engineer | Machine Learning Engineer
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