Middle AI Engineer
Tasks
- Apply prompt engineering and RAG
- Build agentic AI solutions
- Design AI-driven applications
- Develop and deploy machine learning models
- Evaluate models and improve performance
- Fine tune models for NLP and prediction
- Implement automation pipelines
- Implement continuous learning systems
- Implement scalable APIs and microservices
- Integrate AI capabilities into infrastructure
Perks/Benefits
- Hybrid or remote flexibility
- International projects
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Referral bonuses
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
API Development | AWS | Azure | Docker | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Microservices | Model Serving | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Telemetry | TensorFlow | Transformers
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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