AI Engineer

Role Specific Skills

• ML Algorithms and Deep Learning Fundamentals
• PyTorch or TensorFlow
• Model Development, Training, and Deployment
• Model Evaluation Techniques and Performance Metrics
• NLP and LLMs (Hugging Face Transformers, spaCy)
• Familiarity with Cloud AI Services (AWS SageMaker, Google Vertex AI, Azure AI)
• Basic MLOps Practices
• Fundamentals of AI Ethics, Bias Detection, and Model Interpretability

As Our AI Engineer, You Will

• Assist in the development, training, and fine-tuning of machine learning (ML) models.
• Work with large datasets, including data cleaning, preprocessing, feature engineering, and preparing high-quality training data.
• Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Support research and development of AI applications in natural language processing (NLP), large language models (LLMs), and predictive analytics.
• Collaborate with software engineers to deploy and integrate AI models into production environments, including model-integrated API services.