Expert AI Engineer
Tasks
- Architect scalable AI pipelines
- Build LLM-driven applications
- Conduct technical assessments and interviews
- Develop and deploy advanced AI systems
- Drive CI/CD for AI models
- Ensure AI architecture quality
- Ensure security and data privacy compliance
- Implement MLOps and LLMOps
- Implement retrieval-augmented generation
- Integrate AI services with enterprise platforms
- Lead AI system design
- Mentor engineering peers
- Orchestrate multi-agent systems
- Provide AI observability and evaluation
- Support presales technical solutions
Perks/Benefits
- Company-paid certifications
- Full remote working possibilities
- Language courses
- MyBenefit Cafeteria Platform
- Premium medical package
- Udemy access
- Workshops conferences meetups
Skills/Tech-stack
AI Stack | API Integration | AWS SageMaker | Agentic Systems | Apache Spark | Azure ML | CCPA | CI/CD | Cassandra | Data Ingestion | Databricks | Deep learning | Docker | Flink | GDPR | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Graph Databases | Hugging Face | Kafka | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Serving | Neo4j | NoSQL | Nvidia AI | Nvidia AI stack | Observability | PCI DSS | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Snowflake | TensorFlow | Version control | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Expert AI Engineer | Learning Engineer | Machine Learning Engineer
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