Senior Data Scientist / AI Engineer Canada Remote

Senior Data Scientist / AI Engineer

Location: Canada\_remote

Contract 12 months plus

Please share me the resumes at
pranay@burgeonits.com

Role Overview

We are seeking a Senior Data Scientist / AI Engineer with strong expertise in
Knowledge Graphs, Large Language Models (LLMs), and advanced Machine Learning
. This role involves designing and deploying production-ready AI systems that solve complex business problems in data-rich environments.

Preferred

• Healthcare Insurance / Managed Care (MCO) domain experience
• Experience with vector databases (Pinecone, Weaviate, FAISS)
• Knowledge of hybrid semantic-neural architectures
• Experience with explainable or responsible AI systems

Key Responsibilities

• Design and develop advanced ML models (NLP, predictive modeling, optimization, statistical learning).
• Build and deploy end-to-end MLOps pipelines (data ingestion, training, deployment, monitoring, CI/CD).
• Develop and fine-tune LLMs for classification, summarization, RAG, and agent-based workflows.
• Design and scale Knowledge Graph–driven AI systems (ontology design, RDF/OWL, graph embeddings, reasoning).
• Collaborate with engineering and product teams to deliver scalable AI solutions in production.

Required Skills

• Master’s or PhD in Computer Science, AI, ML, Data Science, or related field.
• Strong hands-on experience in:
• Machine Learning & Statistics (supervised/unsupervised learning, optimization)
• NLP (semantic search, embeddings, text modeling)
• LLMs & Transformers (fine-tuning, RAG, prompt engineering)
• Knowledge Graphs (RDF, OWL, SPARQL, Neo4j, graph ML)
• MLOps (MLflow, Kubeflow, Airflow, Docker, CI/CD)
• Proficiency in Python
• Experience with PyTorch or TensorFlow
• Hands-on with HuggingFace, LangChain
• Experience with cloud platforms (AWS, Azure, or GCP)