Top Benefits
About the role
Come join Home Trust Company as a Machine Learning Engineer in our Data & Analytics team!
Home Trust Company has developed a track record of success as Canada’s leading alternative lender, employing nearly 800 people in our Toronto headquarters and branches across the country. Building on the demonstrated strength of its core residential mortgage lending business, the Company also offers complementary lending services, as well as highly competitive deposit investment products, through Oaken Financial. Our culture has been shaped by the passion and integrity of our people. Home Trust is a private company.
FIRST THING – WHAT YOU NEED TO SUCCEED?
We are looking for individuals who are dedicated, passionate, and driven to execute with excellence!
WE CARE ABOUT OUR EMPLOYEES WELL-BEING, WHAT WE OFFER:
-
Base salary, with yearly incentive performance bonus
-
Three (3) weeks of vacation, an additional six (6) flex days (sick or personal) in addition to statutory holidays
-
Comprehensive benefit packages, offered through Manulife
-
Group Retirement Savings Plan (GRSP) up to 8% contribution program & employer match
-
$1000 Employee Referral Program
-
Employee Discounts; phone plans, gym membership, Toronto Bike Share and many retailer discounts offered through WorkPerks
-
Education Assistance program
ABOUT THE ROLE:
The Machine Learning Engineer role brings strong communication, analytic and technical skills. This role bridges the gap between data engineering and data science, requiring a deep knowledge of data processing, cloud platforms and machine learning technologies. The role encompasses both the development of machine learning models and the creation and maintenance of scalable data pipelines. Strong expertise in platforms such as Databricks, Azure, Python frameworks (Pandas, Numpy, etc.), Spark, is essential. Collaboration with data scientists, data engineers, data architects and software developers as well as business stakeholders is key to this role.
In addition:
-
Design, develop and deploy machine learning models that address business challenges and add value to HTC objectives.
-
Develop and maintain scalable data pipelines, ensuring data quality, reliability, and timeliness. Transform data into usable datasets for ML model development.
-
Utilize platforms such as Databricks, Python, Azure for ML model development.
-
Analyze large complex datasets to extract actionable insights and create innovative machine learning solutions.
-
Refine and optimize existing ML and AI models and algorithms for performance and scalability.
-
Monitor models for performance, accuracy and relevance.
-
Collaborate with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into production systems.
-
Attend departmental meetings, learning events, participate in technical/professional activities as required.
-
Create technical documentation for reference and reporting.
-
Make sure models are free from biases and respect privacy and ethical guidelines.
-
Perform research and development in latest trends in AI/ML, data science and data engineering to ensure company’s and department’s technological competitiveness.
WHAT WE REQUIRE:
-
Authorized to work in Canada
-
Great communication skills
-
Bachelor’s or Master’s degree in a STEM field (Computer Science, Engineering, Statistics, Mathematics, or a related field)
-
2+ years of experience in similar field
-
Proven experience as a Machine Learning Engineer or a similar role (Data Engineering and/or data science). Proficiency in programming languages such as SQL, Python, Spark, R, SAS, etc.
-
Solid understanding of machine learning frameworks (TensorFlow, PyTorch, or Keras).
-
Experience with cloud platforms such as GCP, AWS, Azure. Experience with Big Data technologies such as Snowflake, Databricks, Hadoop, Spark, or similar.
PREREQUISITE: Maintain a positive supportive attitude, help to maintain an inclusive and supportive company culture!
Follow us on LinkedIn: Home Trust Company: My Company | LinkedIn
About Home Trust Company
We have been saying “Welcome Home” since the very first day we opened for business. For decades, our team of dedicated professionals has helped people put down roots, even when they thought it wasn’t possible. We have changed the way lending is done in this country and changed countless lives along the way.
Home Trust began in 1977 with a goal to help all Canadians achieve their goals. We have grown to become a leading financial services institution in Canada, but that’s not what matters most to us.
What matters is the mortgage broker who was able to help someone who wouldn’t otherwise qualify for a mortgage to purchase their first home. Or the business for self customer who was able to expand their operations. Or the newcomer to Canada with big dreams of building a new life.
The stories of our customers — those who turn to us, who put their hopes in us, who rely on us every day to find a way forward — are our motivation to succeed.
Visit hometrust.ca to learn how we we’re helping Canadians build their financial future.
Top Benefits
About the role
Come join Home Trust Company as a Machine Learning Engineer in our Data & Analytics team!
Home Trust Company has developed a track record of success as Canada’s leading alternative lender, employing nearly 800 people in our Toronto headquarters and branches across the country. Building on the demonstrated strength of its core residential mortgage lending business, the Company also offers complementary lending services, as well as highly competitive deposit investment products, through Oaken Financial. Our culture has been shaped by the passion and integrity of our people. Home Trust is a private company.
FIRST THING – WHAT YOU NEED TO SUCCEED?
We are looking for individuals who are dedicated, passionate, and driven to execute with excellence!
WE CARE ABOUT OUR EMPLOYEES WELL-BEING, WHAT WE OFFER:
-
Base salary, with yearly incentive performance bonus
-
Three (3) weeks of vacation, an additional six (6) flex days (sick or personal) in addition to statutory holidays
-
Comprehensive benefit packages, offered through Manulife
-
Group Retirement Savings Plan (GRSP) up to 8% contribution program & employer match
-
$1000 Employee Referral Program
-
Employee Discounts; phone plans, gym membership, Toronto Bike Share and many retailer discounts offered through WorkPerks
-
Education Assistance program
ABOUT THE ROLE:
The Machine Learning Engineer role brings strong communication, analytic and technical skills. This role bridges the gap between data engineering and data science, requiring a deep knowledge of data processing, cloud platforms and machine learning technologies. The role encompasses both the development of machine learning models and the creation and maintenance of scalable data pipelines. Strong expertise in platforms such as Databricks, Azure, Python frameworks (Pandas, Numpy, etc.), Spark, is essential. Collaboration with data scientists, data engineers, data architects and software developers as well as business stakeholders is key to this role.
In addition:
-
Design, develop and deploy machine learning models that address business challenges and add value to HTC objectives.
-
Develop and maintain scalable data pipelines, ensuring data quality, reliability, and timeliness. Transform data into usable datasets for ML model development.
-
Utilize platforms such as Databricks, Python, Azure for ML model development.
-
Analyze large complex datasets to extract actionable insights and create innovative machine learning solutions.
-
Refine and optimize existing ML and AI models and algorithms for performance and scalability.
-
Monitor models for performance, accuracy and relevance.
-
Collaborate with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into production systems.
-
Attend departmental meetings, learning events, participate in technical/professional activities as required.
-
Create technical documentation for reference and reporting.
-
Make sure models are free from biases and respect privacy and ethical guidelines.
-
Perform research and development in latest trends in AI/ML, data science and data engineering to ensure company’s and department’s technological competitiveness.
WHAT WE REQUIRE:
-
Authorized to work in Canada
-
Great communication skills
-
Bachelor’s or Master’s degree in a STEM field (Computer Science, Engineering, Statistics, Mathematics, or a related field)
-
2+ years of experience in similar field
-
Proven experience as a Machine Learning Engineer or a similar role (Data Engineering and/or data science). Proficiency in programming languages such as SQL, Python, Spark, R, SAS, etc.
-
Solid understanding of machine learning frameworks (TensorFlow, PyTorch, or Keras).
-
Experience with cloud platforms such as GCP, AWS, Azure. Experience with Big Data technologies such as Snowflake, Databricks, Hadoop, Spark, or similar.
PREREQUISITE: Maintain a positive supportive attitude, help to maintain an inclusive and supportive company culture!
Follow us on LinkedIn: Home Trust Company: My Company | LinkedIn
About Home Trust Company
We have been saying “Welcome Home” since the very first day we opened for business. For decades, our team of dedicated professionals has helped people put down roots, even when they thought it wasn’t possible. We have changed the way lending is done in this country and changed countless lives along the way.
Home Trust began in 1977 with a goal to help all Canadians achieve their goals. We have grown to become a leading financial services institution in Canada, but that’s not what matters most to us.
What matters is the mortgage broker who was able to help someone who wouldn’t otherwise qualify for a mortgage to purchase their first home. Or the business for self customer who was able to expand their operations. Or the newcomer to Canada with big dreams of building a new life.
The stories of our customers — those who turn to us, who put their hopes in us, who rely on us every day to find a way forward — are our motivation to succeed.
Visit hometrust.ca to learn how we we’re helping Canadians build their financial future.