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RemoteRemote (Canada)
### 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).
### 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
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)
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.
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🏡 RemoteEleks
View company pageELEKS is a trusted global company that provides full-cycle software engineering outsourcing services, from ideation to finished products.
Key team members

Andriy Khvyshchun
1K followers

Andrew Park
ELEKS•1K followers

Nestor Komarnytsky
ELEKS•4K followers

Wim Symoen
What’s Cooking Group•2K followers
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