The AI/ML Architect will design scalable AI and ML solutions, lead technical teams, evaluate technologies, and ensure high-quality project delivery across the organization.
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.
Top Skills
Airflow
Aws Sagemaker
Azure Ml
Databricks
Docker
Dvc
Faiss
Gcp Vertex Ai
Kafka
Kubeflow
Kubernetes
Mlflow
Pinecone
Python
PyTorch
Scikit-Learn
Spark
TensorFlow
Weaviate
ELEKS Toronto, Ontario, CAN Office
100 King Street West, Toronto, ON, Canada, M5X 1C9
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