Our client is looking for an innovative and experienced AI Solutions Architect specializing in Machine Learning to join their cutting-edge technology team. This is a fully remote position, offering the flexibility to work from anywhere in Canada.
About the Role:
As an AI Solutions Architect, you will be responsible for designing, developing, and deploying advanced AI and Machine Learning solutions that address complex business problems. You will work closely with cross-functional teams, including data scientists, engineers, and product managers, to translate business requirements into scalable and robust AI architectures. Your expertise will drive the development of next-generation AI capabilities.
Responsibilities:
Design and architect end-to-end AI/ML solutions, including data pipelines, model training infrastructure, and deployment strategies. Evaluate and select appropriate AI/ML algorithms, frameworks, and tools for specific use cases. Develop proof-of-concepts (POCs) and prototypes to demonstrate the feasibility of AI solutions. Collaborate with data scientists to ensure ML models are production-ready and integrated seamlessly into client systems. Provide technical leadership and guidance on AI best practices, ethical AI considerations, and MLOps. Develop technical documentation, including architecture diagrams, design specifications, and deployment guides. Stay current with the latest advancements in AI, Machine Learning, Deep Learning, and related fields. Communicate technical concepts effectively to both technical and non-technical audiences. Troubleshoot and optimize AI/ML systems for performance, scalability, and reliability.
Qualifications:
Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 5+ years of hands-on experience in designing and implementing AI/ML solutions in production environments. Strong proficiency in programming languages such as Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). In-depth knowledge of various ML techniques, including supervised, unsupervised, and reinforcement learning. Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services. Familiarity with MLOps principles and tools for model deployment and lifecycle management. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills, with the ability to work effectively in a remote team. Experience with Big Data technologies (e.g., Spark, Hadoop) is a plus.
This is a unique opportunity to shape the future of AI within a leading organization, offering a fully remote work environment. Be part of a team that is pushing the boundaries of what's possible with artificial intelligence from your home base in Ottawa, Ontario, CA , or anywhere else in Canada.
