3 open roles across engineering, design, and beyond. Find the one made for you.
Build and integrate custom AI models, LLMs, and intelligent automation pipelines into enterprise web applications, ERP, and SaaS platforms. Work with engineering teams to bridge data science and product features.
Responsibilities
- 01 Design, fine-tune, and deploy LLM pipelines, NLP models, and computer vision algorithms.
- 02 Integrate intelligent automation and predictive analytics into client ERP and POS platforms.
- 03 Optimize AI models for low-latency inference and scalable API production environments.
- 04 Collaborate with backend developers to establish clean RESTful/gRPC model interfaces.
- 05 Implement 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.
Recognized globally for our technical excellence, delivery process, and unwavering commitment to clients.