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AI/ML Architect

14 hours, 52 minutes ago
Canada
Lead
AI (Artificial Intelligence)
Software Development
Apache Airflow Apache Spark CI/CD Databricks Docker Kafka Kubeflow Kubernetes LLM Microservices MLflow Python PyTorch SageMaker Scikit-learn TensorFlow Transformers Vertex AI
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ELEKS

ELEKS

ELEKS specializes in providing software engineering, technology consulting, and quality assurance services, helping industry leaders transform innovative ideas into effective business solutions across various sectors, including data science, mobility, ...

Construction & Engineering
1K-5K
Founded 1991
View All Jobs 12

Description

  • 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.
  • Provide expert guidance across the full machine learning lifecycle, from data preparation through deployment and monitoring.
  • Architect scalable solutions using Python-based ML stacks and modern cloud environments.
  • Support the development of LLM-based applications, vector database architectures, and retrieval-augmented generation systems.
  • Evaluate emerging AI capabilities such as agent frameworks, fine-tuning strategies, and MLOps automation.
  • Oversee technical design of AI projects and ensure solution quality, reliability, and security.
  • Conduct architecture reviews, code reviews, and technical deep dives, and mentor engineers and data scientists.

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, including TensorFlow, PyTorch, Scikit-Learn, and transformer libraries.
  • Hands-on experience with cloud AI services such as AWS SageMaker, Azure ML, or GCP Vertex AI.
  • Hands-on experience with data engineering tools such as Spark, Databricks, Airflow, and Kafka.
  • Hands-on experience with LLM architectures, fine-tuning, embeddings, and vector stores such as FAISS, Pinecone, or Weaviate.
  • Hands-on experience with MLOps tools such as MLflow, Kubeflow, DVC, and CI/CD pipelines.
  • Solid understanding of distributed computing, APIs, microservices, and containerization with Docker and Kubernetes.
  • Strong communication skills and ability to explain complex technical concepts to non-technical audiences.
  • Strategic mindset with experience influencing product and technical decisions, plus the ability to lead, mentor, and collaborate across teams.

Benefits

  • Remote work opportunity in Canada.
  • Close cooperation with a customer.
  • Challenging tasks.
  • Competence development.
  • A team of professionals.
  • Dynamic environment with a low level of bureaucracy.

Interested in this position?

Apply directly on the company website

Apply Now

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