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Full Time Artificial Intelligence Machine Learning Jobs in Ontario

Larus Technologies

Data Scientist

Ottawa, ON · On-site

Job Summary Full-time : 37.5 Hours per week, Monday to Friday Location: Ottawa Office (Up to 3 days ... We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics.

ALS

Junior Machine Learning Engineer

Waterloo, ON · On-site

CA$80K - CA$95K/yr

Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline. * Practical experience with machine learning ...

Boson AI

Machine Learning Engineer - Enterprise

Toronto, ON · On-site

CA$150K - CA$400K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience. * Strong contribution record on ...

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $140,000 - $250,000 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $170,000 - $250,000 CAD The pay details ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

Td

Applied Machine Learning Scientist II

Toronto, ON · On-site

CA$125K - CA$154K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $125,500 - $154,000 CAD The pay details ... We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...

Autodesk

... artificial intelligence on the product design and manufacturing industry. Fusion is a CAD/CAM ... We see many opportunities for machine learning to expand what our customers are capable of. In this ...

Mercor

Automated Planning PhD - AI Expert

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research . * Focus on automated planning / symbolic AI . * High attention to detail

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All JobsArtificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning Jobs in Ontario

Full Time Artificial Intelligence Machine Learning information

What is a full time artificial intelligence machine learning?

A Full Time Artificial Intelligence Machine Learning job typically involves working as a specialist or engineer who develops, implements, and maintains AI and machine learning models. This role may include tasks such as data preprocessing, building predictive algorithms, optimizing model performance, and collaborating with cross-functional teams to solve real-world problems using AI. Professionals in this field usually work with large datasets, programming languages like Python, and frameworks such as TensorFlow or PyTorch. Full-time positions generally require a background in computer science, mathematics, or a related field, and often involve ongoing learning to keep up with rapidly evolving technologies.

What are some common challenges faced by professionals in full time artificial intelligence machine learning roles, and how can they be addressed?

Professionals in full-time AI and Machine Learning roles often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and keeping up with rapid technological advancements. Additionally, collaborating with cross-functional teams to translate business needs into technical solutions can be demanding. To address these challenges, it is crucial to stay updated with the latest research, leverage robust data preprocessing techniques, and maintain open communication with stakeholders. Regularly participating in team meetings and knowledge-sharing sessions also helps in overcoming obstacles and fostering innovation.

What are the key skills and qualifications needed to thrive as a full time artificial intelligence machine learning professional, and why are they important?

To thrive as a Full Time Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially Python), and a relevant degree such as computer science or data science. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), cloud platforms (AWS, Azure), and relevant certifications are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and innovate within diverse teams. These competencies are essential for developing robust AI solutions and staying current in a rapidly evolving field.

What is the difference between Full Time Artificial Intelligence Machine Learning vs Data Scientist?

AspectFull Time Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in ML/AIDegree in Statistics, Computer Science, or related fields; certifications in data analysis
Work EnvironmentTech companies, research labs, startups; focus on developing AI/ML modelsBusiness environments, consulting firms; focus on data analysis and insights
Employer & Industry UsagePrimarily in tech, finance, healthcare, and research sectorsAcross industries like marketing, finance, healthcare, and e-commerce

While both roles involve working with data, Full Time Artificial Intelligence Machine Learning specialists focus on developing and deploying AI/ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in their primary objectives and skill sets.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Ontario?

The most popular types of Artificial Intelligence Machine Learning jobs in Ontario are:

What cities in Ontario are hiring for Full Time Artificial Intelligence Machine Learning jobs?

Cities in Ontario with the most Full Time Artificial Intelligence Machine Learning job openings:

Full Time Artificial Intelligence Machine Learning jobs near you

Data Scientist

Larus Technologies

Ottawa, ON • On-site

Full-time

Medical, Dental, PTO

Re-posted 9 days ago

Job description

Job Summary
Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located outside of the National Capital Region.
Reporting To: Director of Technology
Salary Range: $80,000 to 95,000
Type of Vacancy: New
Larus is growing and we are looking for talented and enthusiastic individuals to join our team!  We are in search of self-motivated individuals to join the Larus Labs team as Data Scientists, where we develop end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied solutions.
Key Responsibilities
  • Design and implement scalable, distributed AI/ML-based systems; 
  • Design, development, integration, and testing of AI/ML models;
  • Advocate high-quality and best practices in software design and development; 
  • Close interaction with other team members on system integration and validation; 
  • Perform data analysis, visualization, and modelling with large datasets;
  • Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders;
  • Perform data acquisition, cleaning, and transformation; 
  • Record and document work;
  • Meet sprint goals with the team and release deliverables to stakeholders and     
  • customers; and,
  • Other duties as assigned. 

Qualifications
Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.  
Expected qualifications include:
  • University undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
  • Master’s or Ph.D. is considered an asset;
  • 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
  • Experience in a client facing role, regularly meeting client demands;
  • Passion for learning and solving complex problems;
  • Strong object-oriented programming in Python; 
  • Strong communication skills; 
  • Ability to work in a dynamic, fast-paced work environment; 
  • Organized and focused; and, 
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
Technical Skill Requirements, working knowledge of: 
  • Python;
  • Machine Learning and Data Mining;  
  • AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax); 
  • Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
  • Source control-based system (e.g. Git);   
  • Trend analysis and predictive modeling; and,
  • Data collection, analysis and reporting. 
Preferred Technical Skills: 
  • MLOps (e.g., Kubeflow); 
  • Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask); 
  • Software Unit Testing (e.g., Python Unittest); 
  • Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops); 
  • Data Visualization (e.g., matplotlib, seaborn, streamlit); 
  • Optimization (e.g., optuna, katib, jmetalpy, GA); and, 
  • Mathematics (e.g., linear algebra, statistics, mathematical programming).
Preferred Client Skills: 
  • Ability to work with client stakeholders across all levels of an organization, from individual contributors to senior executives;
  • Strong interpersonal and relationship-management skills;
  • Strong active-listening skills and the ability to translate business needs into data science solutions;
  • Experience managing client expectations while balancing project scope, timelines, and priorities; and
  • Ability to build trust and credibility with clients through professionalism, responsiveness, and consistent delivery.
Benefits 
  • Competitive compensation package; $80,000-95,000
  • Comprehensive Health and Dental insurance package; 
  • Competitive vacation and paid time off; 
  • Company-sponsored team-building events; and
  • Learning and development opportunities. 

About Larus
Larus Technologies Corporation (http://www.larus.com ) is an Ottawa-based software product and research company capable of developing intelligent systems and engineering simulations primarily for business, Defence and security applications. Larus’ core business areas include Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the Public Security and Defence sectors; and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science.​ 
We invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system. 
We thank all applicants; however, only those selected for an interview will be contacted.  
At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.  
Larus has an accommodation process and provides accommodation for applicants with disabilities.  If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com

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