Looking for an AI resource from the nearshore pool - Canada

Job Description:

Develop, implement, and optimize machine learning algorithms and models.

Design scalable AI/ML pipelines using AWS cloud services (e.g., SageMaker, Lambda, S3, etc.).

Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems.

Conduct research and stay updated on the latest advancements in AI/ML technologies.

Monitor and fine-tune deployed models to ensure optimal performance..

Hands-on experience across leading LLM platforms (Cohere, OpenAI, Anthropic, Gemini, AgentSpace, Claude).

Able to assess platform capabilities, maturity, and tradeoffs.

Strong grasp of model architectures: transformers, RAG, agent orchestration, tool calling, and when to apply each.

Practical experience with fine-tuning, embeddings, and prompt optimization against enterprise data sets.

Able to apply evaluation frameworks that measure real-world performance: hallucination rates, reasoning depth, cost, latency, and accuracy.

Deep understanding of agent frameworks (multi-step reasoning, memory, orchestration, autonomy) and their operational limitations.

Ability to translate technical complexity into clear, business-focused recommendations for senior leadership.

Comfortable partnering cross-functionally across product, engineering, legal, commercial, and operations to align AI deployment to business objectives.

Skilled at pressure-testing business use cases across tasks like summarization, retrieval, classification, reasoning, and identifying where AI will (and won’t) drive impact.