Senior AI Engineer
Tasks
- Adapt ML code for training fine tuning and production deployment
- Build ML oriented CI CD pipelines
- Build RAG pipelines and agent based systems
- Collaborate on scalable cost efficient AI infrastructure
- Deploy machine learning models and ensure observability and monitoring
- Develop backend generative AI solutions and proof of concepts
- Develop fine tuning workflows for model evaluation and benchmarking
- Maintain dev and production infrastructures and environments
- Optimize inference performance
- Perform security monitoring and administration
- Provision ML AWS resources and infrastructure
- Write 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 | Agent-based | Agent-based systems | Amazon Bedrock | Bitbucket | CI/CD | Deep learning | Docker | Generative AI | GitHub Actions | Inference Optimization | Inference monitoring | Kubernetes | LLM | LLM Evaluation | Langchain | Linux | Llamaindex | Machine Learning | Model Benchmarking | Observability | OpenAI API | OpenSearch | PyTorch | Python | Qdrant | RAG | Supervised Learning | Terraform | Unsupervised Learning | Vector Databases | Weaviate
Education
Roles
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