Jr. Al ML Engineer
Tasks
- Build AI powered applications using language models
- Collaborate with engineers on scalable AI application best practices
- Debug test and optimize AI system performance
- Design automation workflows
- Develop and apply machine learning and deep learning models
- Develop chatbots and virtual assistants
- Implement RAG based document question answering
- Integrate AI models with APIs databases and web applications
- Perform prompt engineering to improve response quality
- Store and retrieve data using vector databases
- Test improve and deploy AI solutions
Perks/Benefits
- Annual leaves
- Bereavement leaves
- Casual leaves
- EOBI
- Marriage leaves
- Maternity leaves
- Medical health insurance
- Paternity leaves
- Provident fund
- Sick leaves
Skills/Tech-stack
API Integration | Chroma | Deep learning | Embedding Models | Faiss | Langchain | Langgraph | Llamaindex | Machine Learning | Pinecone | Prompt engineering | PyTorch | Python | REST API | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | TensorFlow | Vector Database | XGBoost
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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