Senior AI Engineer
Tasks
- Adapt code for training fine tuning and deployment
- Build ML CI/CD pipelines
- Build RAG pipelines
- Collaborate on scalable cost efficient AI infrastructure
- Create LLM powered services
- Deploy machine learning models to production
- Develop MLOps pipelines
- Develop backend Generative AI solutions
- Ensure model observability and monitoring
- Evaluate and benchmark models
- Implement agent-based systems
- Maintain dev to production infrastructure
- Optimize fine-tuning workflows
- Optimize inference
- Perform security monitoring and administration
- Provision AWS ML resources
- Use Terraform for infrastructure deployment
Perks/Benefits
- Certifications covered
- Company events
- English classes
- International work environment
- Professional training
- Referral bonus
- Soft-skills training
Skills/Tech-stack
AWS | Amazon Bedrock | Bitbucket | CI/CD | Deep learning | Docker | GitHub Actions | Kubernetes | LLM | Langchain | Linux | Llamaindex | Machine Learning | OpenAI SDK | OpenSearch | PyTorch | Python | Qdrant | RAG | Supervised Learning | Terraform | Unsupervised Learning | Vector Databases | Weaviate
Education
Roles
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