AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
About the role
- Senior Data Scientist leading ML strategies at Homebase. Collaborating with teams to enhance data-driven solutions and machine learning platform.
Responsibilities
- Partnering closely with senior leadership to devise a comprehensive multi-year technical strategy for our (ML) platform.
- Guiding the design and implementation of essential platform components geared toward the training, deployment, and monitoring of ML models in production environments.
- Establishing and enforcing best practices for maintaining data quality, governance, and security standards across the data and machine learning platform.
- Offering technical mentorship and guidance to the engineers within the team and across engineering, fostering a culture of continuous learning and growth.
- Providing expert guidance on industry-leading practices, tools, and technologies relevant to ML engineering
- Developing and implementing effective communication strategies to convey technical concepts to both technical and non-technical audiences, facilitating cross-functional understanding and collaboration.
- Cultivating partnerships across Engineering, Product Management, Infrastructure, Security, Analytics, and Design teams to address technical and non-technical problems collaboratively.
Requirements
- Over 7 years of software development experience, specializing in data science and ML for 7+ years
- Proficient in building and deploying machine learning models (including language models)
- Experience in architecting, designing, and implementing scalable ML platforms and infrastructure, optimizing workflows for machine learning lifecycle management.
- Proficient in building model serving pipelines for batch, streaming, and real-time inference
- Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.
- Strong problem-solving skills with a strategic mindset and attention to detail
- Effective communicator and collaborator across technical and non-technical stakeholders
- Proficient in Python, SQL, Spark, Databricks, Git, or a similar technical stack
Benefits
- Stock options + TFSA/RRSP with 4% company match
- Comprehensive medical, dental, and vision for you and your dependents
- Flex time off + company holidays + designated focus periods
- Maternity/Parental Leave EI top-up support offered (after 6 months of service)
- Work From Anywhere Month + meeting-free weeks yearly
- Life insurance + short/long-term disability coverage
- Meals provided, team offsites, and Customer Days
- **Tuesdays and Wednesdays are our required in-office days**
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.
Senior AI Data Scientist leading complex analytical and predictive AI workstreams at Valtech. Collaborating with teams to deliver actionable insights for high - value business problems.
Lead Data Scientist responsible for designing and deploying Generative AI solutions. Collaborating closely with clients and mentoring teams in analytics consulting at Tiger Analytics.
Delivery manager leading the end - to - end execution of complex data and analytics programs at Ness. Building client relationships and driving best practices for scalable data solutions in the digital economy.
Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Manager leading data initiatives for Treasury and Finance at TD. Collaborating with stakeholders for high - quality reporting and analytics.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.