Ai Engineer

Qualifications:

·Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

·Experience: At least 2 years of hands-on experienceworking with AI technologies, with a strong emphasis on NLP, NLU, or NER projects.

·Skills:

oProficiency in Pythonand frameworks such as TensorFlow, PyTorch, or Hugging Face.

oExperience with NLP libraries like spaCy, NLTK, or transformers.

oKnowledge of transformer-based models like BERT, RoBERTa, or GPT.

oFamiliarity with large-scale data preprocessing, annotation, and training pipelines.

oUnderstanding of database systems (SQL/NoSQL) and data structures for efficient model integration.

oExperience deploying AI models in cloud environments(e.g., AWS, Google Cloud, Azure).

oStrong problem-solving skills and the ability to work in an agile environment.

Preferred Qualifications:

·Hands-on experience with NERand custom entity recognition modelsin real-world applications.

·Knowledge of microservices architecture and integrating AI into distributed systems.

·Experience working with recruitment platforms or similar data-intensive domains.

·Familiarity with Docker, Kubernetes, and CI/CD pipelines for deploying AI solutions.

·A dynamic, collaborative, and innovative working environment.

·Opportunities to work on cutting-edge AI projects impacting the recruitment industry.

·Competitive salary and performance-based bonuses.

·Continuous learning opportunities, including training and certifications.

·Flexible working hours and a hybrid working model.