AI/ML Architect (Edmonton)

REQUIREMENTS - 7+ years of experience in data science, machine learning, or AI engineering - 3+ years in a senior or principal-level architectural role - Strong proficiency in Python and common ML/AI frameworks (TensorFlow, PyTorch, Scikit-Learn, transformers libraries) - Hands-on experience with: - Cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI) - Data engineering tools (Spark, Databricks, Airflow, Kafka) - LLM architectures, fine-tuning, embeddings, vector stores (FAISS, Pinecone, Weaviate) - MLOps tools (MLflow, Kubeflow, DVC, CI/CD pipelines) - Solid understanding of distributed computing, APIs, microservices, and containerization (Docker, Kubernetes). PERSONAL CHARACTERISTICS - Strong communication skills and ability to translate complex technical concepts for non-technical audiences - Strategic mindset with experience influencing product and technical decisions - Ability to lead, mentor, and partner effectively across teams - Passion for innovation, experimentation, and continuous improvement RESPONSIBILITIES - Architecture & Strategy - Design end-to-end AI/ML architectures, including data ingestion pipelines, feature stores, model training, deployment patterns, and monitoring frameworks - Lead the evaluation and selection of AI/ML tools, frameworks, cloud components, and platforms - Define standards, best practices, and governance frameworks for responsible AI usage - Partner with product and engineering leadership to shape the long-term AI roadmap - Technical Leadership - Provide expert guidance across the full ML lifecycle: data preparation, modeling, experimentation, optimization, deployment, monitoring - Architect scalable solutions using Python-based ML stacks (e.g., TensorFlow, PyTorch, Scikit-Learn) and up-to-date cloud environments (AWS, Azure, GCP). Support the development of LLM-based applications, vector database architectures, and retrieval-augmented generation (RAG) systems - Evaluate new AI capabilities (e.g., agent frameworks, fine-tuning strategies, MLOps automation) - Execution & Delivery - Oversee the technical design of AI projects and ensure solution quality, reliability, and security - Work with cross-functional teams to define clear success metrics for AI initiatives - Conduct architecture reviews, code reviews, and technical deep dives - Mentor engineers and data scientists to elevate technical excellence. WHAT YOU WILL GET WITH ELEKS - Close cooperation with a customer - Challenging tasks - Competence development - Team of professionals - Dynamic environment with a low level of bureaucracy ABOUT ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991. Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D;, design, technology consulting and dedicated teams. #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2p307s