Python - AI ML
Tasks
- Apply MLOps practices
- Build AI agentic workflows
- Build RAG pipelines
- Build scalable enterprise applications
- Deploy production models
- Design AI/ML solutions
- Develop REST APIs
- Develop WebSocket APIs
- Fine-tune models
- Implement data analysis using SQL and Pandas
- Implement large language models
- Integrate messaging platforms
- Lead AI/ML project delivery
- Manage projects in agile environments
Perks/Benefits
- N/A
Skills/Tech-stack
ActiveMQ | Advanced search | Advanced search algorithms | Agile | ChromaDB | Faiss | Flask | Go | JMS | JavaScript | Kafka | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | MongoDB | Oracle | Pandas | Pinecone | PostgreSQL | Python | REST API | RabbitMQ | React | Retrieval-Augmented Generation | SQL | Search Algorithms | Spring AI | Spring Boot | Streamlit | Transformers | TypeScript | Vector Databases | WebSocket
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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