AI \ ML Engineer R&D
Tasks
- Build containerized applications
- Configure infrastructure as code
- Create reusable code libraries
- Design and implement AI/ML pipelines
- Develop prototypes quickly
- Implement serverless architectures
- Integrate AI/ML models into software
- Leverage cloud services for deployment
- Transform business requirements into applications
- Use AI coding assistants to improve development
Perks/Benefits
Skills/Tech-stack
AWS | Amazon CodeWhisperer) | Anthropic | Apache Spark | Azure | C# | CI/CD | Claude | CloudFormation | Codeium | Cursor | Django | Docker | FastAPI | Flask | GitHub Copilot | Go | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Java | JavaScript | JetBrains | Jupyter | Kubernetes | Langchain | Llamaindex | Next.js | Node.js | OpenAI | PGVector | Pandas | Pinecone | PyTorch | Python | React | Rust | SQL | TensorFlow | Terraform | TypeScript | VS Code | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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