AI / ML Engineer
Tasks
- Build RAG pipelines and vector search solutions
- Build microservices and cloud-native deployments
- Design and deploy agentic and LLM-powered systems
- Develop AI applications and systems
- Develop and optimize retrieval and grounding processes
- Implement monitoring and evaluation frameworks
- Integrate AI models and APIs into scalable systems
- Rapidly prototype and iterate AI solutions
- Translate business needs into technical architectures
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | CD pipelines | CI/CD | CI/CD pipelines | Cloud Platforms | Embedding Techniques | Java | Language Models | Large Language Models | Learning operations | Machine Learning | Machine Learning Operations | Monitoring and Evaluation | Node.js | Prompt engineering | Python | Transformer Models | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | ML Engineer
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