The Next Chapter Of Your Career

Responsibilities

1. 01Design, fine-tune, and deploy LLM pipelines, NLP models, and computer vision algorithms.
2. 02Integrate intelligent automation and predictive analytics into client ERP and POS platforms.
3. 03Optimize AI models for low-latency inference and scalable API production environments.
4. 04Collaborate with backend developers to establish clean RESTful/gRPC model interfaces.
5. 05Implement model monitoring, evaluations, and continuous learning workflows.

Requirements

• 3+ years of experience building and deploying machine learning models in production environments.
• Deep knowledge of Python, PyTorch/TensorFlow, LangChain, and vector databases (Pinecone, Qdrant, Chroma).
• Hands-on experience with API design, model fine-tuning (RAG workflows), and cloud AI services (AWS SageMaker / OpenAI API).
• Strong analytical background in data preprocessing, feature engineering, and performance benchmarking.