AI/ML Engineer

Mississauga, ON

Role type - Full Time/Permanent

Client: Synechron

The Role

Responsibilities:

• Develop, test, and deploy advanced AI/ML models and algorithms using Python.
• Design and implement prompt engineering techniques to optimize model responses and performance.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Utilize AI agentic frameworks to create intelligent systems capable of autonomous decision-making.
• Work with large language models (LLMs) to develop applications that understand and generate human-like text.
• Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs.
• Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications.
• Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and methodologies.
• Document processes, models, and methodologies for future reference and knowledge sharing.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in advanced Python programming, with a strong understanding of data structures and algorithms.
• Demonstrated expertise in prompt engineering and its application within AI models.
• Familiarity with AI agentic frameworks and their implementation in real-world applications.
• Experience working with large language models (LLMs) and understanding their architecture and functionalities.
• Knowledge of retrieval-augmented generation (RAG) techniques and vector databases.
• Ability to work effectively in a collaborative environment and communicate complex concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills with a focus on delivering high-quality results.

Preferred, but not required:

• Experience with frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.
• Knowledge of data preprocessing and data engineering practices.