Responsibilities
• Develop, train, test, and deploy AI/ML models for real-world applications.
• Build AI-powered applications using Python and relevant ML frameworks.
• Implement Generative AI solutions using LLMs, prompt engineering, and RAG.
• Work with data preprocessing, feature engineering, and model evaluation.
• Integrate AI models with APIs and existing software applications.
• Optimize model performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.
• Maintain code quality, documentation, testing, and deployment standards. Required Skills
• 3–5 years of relevant experience in AI/ML engineering or related development.
• Solid proficiency in Python.
• Hands-on experience with Machine Learning and Deep Learning.
• Familiarity with TensorFlow, PyTorch,



or Scikit-learn.
• Understanding of Generative AI, LLMs, NLP, and prompt engineering.
• Experience with REST APIs and model deployment.
• Knowledge of Git, Docker, and cloud platforms such as AWS, Azure, or GCP. Preferred Skills
• Experience with RAG pipelines, embeddings, and vector databases.
• Familiarity with LangChain or LlamaIndex.
• Knowledge of MLOps, model monitoring, and CI/CD pipelines.
• Experience deploying production-ready AI applications. Qualifications
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

📌 Artificial Intelligence Engineer (Canada)
🏢 G-FORCE IT SERVICES
📍 Canada