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Software
As an AI/ML Architect, you'll define architecture for AI solutions, lead technical discussions, mentor teams, and ensure ethical AI practices while aligning initiatives with business goals.
Top Skills:
Aws SagemakerAzure MlClaudeDockerFaissGcp Vertex AiGeminiKubeflowKubernetesMlflowOpenaiPineconePythonPyTorchScikit-LearnTensorFlowWeaviateXgboost
Cloud • Software
As a Principal AI/ML Architect, you will lead ML assessments, provide architectural guidance, and advise on ML operations across diverse client engagements, ensuring technical quality and building customer confidence through high-quality proof of concepts.
Top Skills:
AirflowAmazon KinesisApache KafkaSparkAWSDagsterDockerHuggingfaceJaxKubeflowKubernetesMlflowPyTorchSagemakerScikit-LearnTensorFlowW&BXgboost
Software
Design and lead end-to-end AI/ML and GenAI architectures (data pipelines, training, inference, MLOps). Advise clients, integrate LLMs, build RAG systems, benchmark platforms, mentor teams, ensure responsible AI, and align ML strategy with business goals.
Top Skills:
APIsAws SagemakerAzure MlClaudeDockerEmbeddingsFaissGcp Vertex AiGeminiKubeflowKubernetesLlamaMicroservicesMlflowOpenaiPineconePythonPyTorchSagemaker PipelinesScikit-LearnTensorFlowWeaviateXgboost
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:
- Solid understanding of distributed computing, APIs, microservices, and containerization (Docker, Kubernetes).
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)
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 modern 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
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.
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
