Senior AI Engineer
Tasks
- Adapt ML code for training fine tuning and deployment
- Build ML CI CD pipelines with GitHub Actions
- Build RAG pipelines
- Collaborate with solution architects and DevOps teams
- Create fine tuning workflows model evaluation and benchmarking
- Deploy machine learning models to production
- Develop LLM-powered services
- Develop agent-based systems
- Develop backend Generative AI solutions
- Ensure model observability and monitoring
- Implement PyTorch training and fine tuning
- Maintain dev to production environments
- Optimize inference performance
- Perform security monitoring and administration
- Provision AWS ML infrastructure with managed services
- Write Terraform for infrastructure deployment
Perks/Benefits
- Certifications covered
- Company events
- English classes
- International work environment
- Professional training
- Referral program
- Soft-skills training
Skills/Tech-stack
AWS | Amazon Bedrock | Bitbucket | CI/CD | Docker | Generative AI | GitHub Actions | Inference Optimization | Kubernetes | LanceDB | Langchain | Language Models | Large Language Models | Linux | Llamaindex | MLOps | Machine Learning | OpenAI SDK | OpenSearch | PyTorch | Python | Qdrant | RAG | Terraform | Weaviate
Education
Roles
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