Artificial Intelligence Engineer

Role & responsibilities

• Collaborate with business and IT stakeholders to identify opportunities for AI and automation.
• Design and implement machine learning and deep learning models for classification, prediction, NLP, and recommendation systems.
• Build and maintain scalable AI pipelines and integrate them with existing IT systems.
• Develop and deploy Generative AI solutions, including LLM-based chatbots and document intelligence tools.
• Leverage tools like LangChain, HuggingFace, and OpenAI APIs for LLM orchestration and RAG-based solutions.
• Ensure model performance, interpretability, and continuous improvement through MLOps practices.
• Ensure data quality, availability, and governance.

Document models, workflows, and best practices for knowledge sharing and compliance

Preferred candidate profile

Proficiency in Python, R, or similar programming languages.

Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.

Strong understanding of data structures, algorithms, and model evaluation techniques.

Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools.

Experience with NLP, computer vision, or time-series forecasting is a plus.