Artificial Intelligence Engineer

We are seeking a highly motivated and enthusiastic Artificial Intelligence Engineer to contribute to the development and deployment of AI solutions across our global platform. You will apply your foundational knowledge in Natural Language Processing (NLP), Generative AI, Machine Learning (ML), and Deep Learning (DL) to tackle interesting challenges and learn from industry experts.

• AI Model Development and Experimentation:
  • Design, develop, and train Machine Learning and Deep Learning models, particularly in NLP and Generative AI.
  • Utilize tools and frameworks such as Python, TensorFlow, PyTorch, and Hugging Face Transformers for model building and experimentation.
  • Participate in data preparation, cleaning, and feature engineering processes for text and related data.
  • Evaluate model performance using appropriate metrics for NLP and generative tasks.
  • Document code, methodologies, and results clearly and concisely.
• Cloud Deployment and Infrastructure:
  • Leverage cloud platforms (e.g., AWS, Azure, GCP) for deploying and managing AI/ML models and infrastructure under the guidance of senior team members.
  • Ensure the scalability and reliability of AI solutions in the cloud.
• Collaboration and Learning:
  • Collaborate effectively with senior AI engineers, data scientists, and other team members.
  • Participate in team meetings and knowledge-sharing sessions.
  • Seek guidance and mentorship from senior team members to enhance your skills and understanding of AI principles and best practices.
  • Stay up-to-date with the latest advancements in AI research and technologies, particularly in NLP, Generative AI, and ML.
• Project Support:
  • Contribute to the full lifecycle of AI projects, from understanding requirements to assisting with deployment and monitoring.
  • Assist in troubleshooting and resolving issues related to AI models and pipelines, especially those involving language and generative tasks.
• Code Quality and Best Practices:
  • Write clean, well-documented, and maintainable code following established best practices.
  • Participate in code reviews to learn from senior engineers and improve code quality.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related field.
• Fundamental understanding of NLP, Generative AI, ML, and DL principles and algorithms.
• Proficiency in Python programming.
• Familiarity with AI/ML libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Basic understanding of cloud platforms (e.g., AWS, Azure, GCP) and their services.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Eagerness to learn and grow in the field of Artificial Intelligence, particularly in NLP and Generative AI.

• Experience with projects related to Chatbot development, including dialogue management, natural language understanding, and natural language generation.
• Familiarity with concepts and basic implementation of Agentic AI systems, such as planning and tool usage in language models.
• Experience with text data preprocessing techniques, such as tokenization, stemming, and lemmatization.
• Exposure to different NLP tasks like text classification, sentiment analysis, and named entity recognition.
• Familiarity with generative models like Transformers, GANs, or VAEs for text generation.
• Exposure to version control systems like Git.