AIML engineer

Role & responsibilities

Responsibilities

- Develop machine learning models to analyze and predict IT system behavior.

- Build natural language processing (NLP) solutions for unstructured data insights.

- Integrate LLMs (e.g., OpenAI GPT, Google BERT, Cohere) for conversational AI and decision-making features.

- Optimize machine learning pipelines for performance and scalability.

Qualifications

- Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).

- Experience with NLP techniques and libraries (spaCy, Hugging Face Transformers).

- Knowledge of cloud-based AI platforms (AWS SageMaker, Google AI).

- Strong understanding of statistics and algorithm design.