Provide independent validation and effective challenge of AI and machine learning models before and ... new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning ...
Provide independent validation and effective challenge of AI and machine learning models before and ... new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning ...
We are seeking a Senior Machine Learning (ML) Developer (applied research) to join our team working ... Experience building new ML products from scratch, or based on research prototypes. * Experience ...
We are seeking a Senior Machine Learning (ML) Developer (applied research) to join our team working ... Experience building new ML products from scratch, or based on research prototypes. * Experience ...
Provide independent validation and effective challenge of AI and machine learning models before and ... new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning ...
Provide independent validation and effective challenge of AI and machine learning models before and ... new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning ...
Proven track record in machine learning, including designing new architectures, hands-on experimentation, analysis, visualization, and model deployment. * Demonstrated capability to understand and ...
Proven track record in machine learning, including designing new architectures, hands-on experimentation, analysis, visualization, and model deployment. * Demonstrated capability to understand and ...
Data Engineer
Montreal, QC · Hybrid
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks. Evaluate and integrate new technologies to leverage and scale our current ...
Data Engineer
Montreal, QC · Hybrid
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks. Evaluate and integrate new technologies to leverage and scale our current ...
Data Engineer
Montreal, QC · Hybrid
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks. Evaluate and integrate new technologies to leverage and scale our current ...
Data Engineer
Montreal, QC · Hybrid
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks. Evaluate and integrate new technologies to leverage and scale our current ...
Data Engineer
Montreal, QC · Hybrid
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks. Evaluate and integrate new technologies to leverage and scale our current ...
Data Engineer
Montreal, QC · Hybrid
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks. Evaluate and integrate new technologies to leverage and scale our current ...
Share your knowledge about AI Safety and help researchers and engineers at LawZero better design and implement new ML algorithms and experiments. Skills and qualifications * A PhD in machine learning ...
Share your knowledge about AI Safety and help researchers and engineers at LawZero better design and implement new ML algorithms and experiments. Skills and qualifications * A PhD in machine learning ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
Help evolve existing methodologies and develop new techniques for initiatives that span across ... maintenance of Machine Learning systems * Advanced proficiency in Python and Object-Oriented ...
This posting is for a new vacancy. Zurich Canada uses artificial intelligence-enabled tools to ... Machine Learning & GenAI o Design, build, evaluate, and deploy machine learning models (e.g ...
This posting is for a new vacancy. Zurich Canada uses artificial intelligence-enabled tools to ... Machine Learning & GenAI o Design, build, evaluate, and deploy machine learning models (e.g ...
... development of new products based on AI, and collaborate with an established team of Data ... Experience in practical machine learning applications and development * Ability to develop ...
... development of new products based on AI, and collaborate with an established team of Data ... Experience in practical machine learning applications and development * Ability to develop ...
... development of new products based on AI, and collaborate with an established team of Data ... Experience in practical machine learning applications and development * Ability to develop ...
... development of new products based on AI, and collaborate with an established team of Data ... Experience in practical machine learning applications and development * Ability to develop ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection ... Monitor and research new potential cyber threats that could have a direct or indirect impact on the ...
New Grad Machine Learning information
What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?
New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.
What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?
To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.
What is the difference between New Grad Machine Learning vs Data Scientist?
| Aspect | New Grad Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related field; some internships | Bachelor's or Master's in CS, Statistics, or related; some experience |
| Work Environment | Entry-level, team-focused, research and development | Data analysis, modeling, cross-functional collaboration |
| Employer & Industry Usage | Tech companies, startups, research labs | Tech, finance, healthcare, consulting firms |
New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.
What are 'New Grad Machine Learning' roles?
New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Quebec? For New Grad Machine Learning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Quebec look for? The top searched job categories for New Grad Machine Learning jobs in Quebec are:
What cities in Quebec are hiring for New Grad Machine Learning jobs? Cities in Quebec with the most New Grad Machine Learning job openings:
Full-time
Medical, Retirement
Posted 13 days ago
Job description
A career as a senior director AI ML Models Validation in the Model Risk Management team at National Bank means acting as a leader of independent AI and machine learning model validation. This role allows you to have a concrete impact on the organization by strengthening the reliability, governance, and sustainability of models that influence and often drive business decisions, customer outcomes, and risk management through your expertise in advanced analytics, model risk, and strategic leadership.
Your role
- Define and oversee the enterprise strategy, operating model, and validation plan for AI and machine learning models based on risk, materiality, and model inventory coverage
- Lead, develop, and coach a team of model validators by setting clear expectations, supporting skills development, and ensuring consistent quality standards
- Provide independent validation and effective challenge of AI and machine learning models before and after production use, including conceptual soundness, assumptions, data suitability, and fitness for purpose
- Oversee the design and execution of validation testing, including benchmarking, replication, sensitivity and robustness analyses, performance monitoring, and outcome testing
- Assess model risks related to modern AI and machine learning techniques, including stability, drift, generalization, operational resilience, explainability, and bias where applicable
- Drive issue management and remediation by defining severity, agreeing on corrective actions, monitoring progress to closure, and confirming effectiveness through independent re-testing
- Spearhead and champion the development of AI validation tools across the Model Validation Group.
Within the Model Risk Management department, you are part of a multidisciplinary team and report to the managing director responsible for the function. Your team stands out for its rigorous approach, its independence of thought, and its ability to influence stakeholders across data science, technology, risk, and business teams. A hybrid work environment and a flexible, adaptable schedule are offered to support your quality of life.
The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master your role and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.
Prerequisites
- Hold at least a bachelor’s degree and at least six to ten years of experience in model risk, model validation, or related fields, including significant experience with AI/ML models.
- Demonstrated experience leading and managing teams within model validation, quantitative risk, data science governance, or an independent challenge function
- Strong expertise in statistics, machine learning, and validation methodologies, including testing design, performance evaluation, and lifecycle controls
- Proficiency with analytics and data environments, including Python or R and SQL, with the ability to review code, pipelines, and model outputs
- In-depth knowledge of model risk management frameworks, including documentation standards, change management, auditability, issue tracking, and ongoing monitoring
Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.
Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!