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.
- Robust 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 (Ontario)
🏢 G-FORCE IT SERVICES
📍 Ontario