Tricon Residential is an owner, operator and developer of single-family rental homes in the U.S. and multi-family apartments in Canada. Our commitment to enriching the lives of our employees, residents and local communities underpins Tricon’s culture and business philosophy. We provide high-quality rental housing options for families across the United States and Canada through our technology-enabled operating platform and dedicated on-the-ground operating teams. Our development programs are also delivering thousands of new rental homes and apartments as part of our commitment to help solve the housing supply shortage. At Tricon, we imagine a world where housing unlocks life’s potential.
We strive to be North America’s premier rental housing company. Our business philosophy involves taking care of our team first – empowering them to provide our residents with exceptional service and to positively impact the local communities where we operate. By providing an enhanced living experience, our residents rent for longer periods of time, treat our properties like their own, and share their experience with friends and family. This is how we continue to grow, and it is an approach that has proven to generate positive returns for our stakeholders.
For more information, visit Tricon Residential.
Job Description
The Artificial Intelligence/Machine Learning Solutions Architect brings expertise in designing, developing, and deploying cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) solutions and proven ability to translate complex business requirements into robust, scalable, and cost-effective AI/ML architectures. A strong leader and collaborator, adept at guiding teams, mentoring junior engineers, and communicating effectively with stakeholders at all levels. Passionate about staying at the forefront of AI/ML advancements and applying them to solve real-world business challenges.Essential Duties and Responsibilities include the following but are not limited to the job specifications contained herein. Additional duties or job functions that can be performed safely may be required as deemed necessary by supervisory personnel.
Solution Design & Architecture: Lead the design and architecture of AI/ML solutions, considering factors such as data sources, model selection, training methodologies, deployment infrastructure, performance optimization, and security.
Technical Leadership: Provide technical guidance and mentorship to AI/ML engineers, data scientists, and other team members. Foster a culture of innovation and continuous learning.
Requirements Gathering & Analysis: Collaborate with business stakeholders to understand their needs and translate them into specific technical requirements for AI/ML solutions.
Technology Evaluation & Selection: Evaluate and select appropriate AI/ML platforms, tools, and technologies (e.g., cloud platforms like AWS, Azure, GCP, specific ML frameworks like TensorFlow, PyTorch, scikit-learn, etc.) based on project requirements and best practices.
Model Development & Deployment: Oversee the development, training, and deployment of machine learning models. Ensure model performance, scalability, and reliability.
Data Engineering & Management: Collaborate with data engineers to design and implement robust data pipelines for data ingestion, processing, and storage, ensuring data quality and availability for AI/ML initiatives.
Infrastructure Design & Optimization: Design and optimize the infrastructure required to support AI/ML workloads, including compute resources, storage, and networking. Consider cloud-native solutions and MLOps principles.
Performance Monitoring & Tuning: Implement robust monitoring and logging systems to track model performance, identify potential issues, and optimize model accuracy and efficiency over time.
Security & Compliance: Ensure that AI/ML solutions adhere to security best practices and comply with relevant regulations and data privacy policies.
Collaboration & Communication: Effectively communicate technical concepts to both technical and non-technical audiences. Collaborate with cross-functional1 teams, including product managers, business analysts, and executives.
Research & Innovation: Stay up-to-date with the latest advancements in AI/ML research and technologies. Explore and evaluate new tools and techniques to improve existing solutions and drive innovation.
Mentorship & Team Growth: Mentor and guide junior team members, fostering their professional development and contributing to the overall growth of the AI/ML team.
Qualifications:
Technical Skills:
Soft Skills:
Minimum Requirements:
Preferred Attributes:
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job, including:
At Tricon, we are committed to creating a workplace where every individual is valued for their unique contributions, experiences, voices, and backgrounds. By embracing these principles, we aim to positively impact our business and the communities we serve, creating a lasting legacy where everyone can thrive.
Salary Range
Placement within this compensation range will be determined by the candidate's knowledge, experience and skills.
$153,140.00 - $306,280.00