Data Scientist at Larus Technologies

Larus Technologies; Ottawa; Hybrid; CAD 80,000 - 95,000; Full time

Benefits offered by this job

Health and Dental insurance

Vacation and PTO

Team-building events

Learning and development opportunities

Competitive compensation

Job summary

Larus Technologies in Ottawa is seeking a skilled AI/ML Engineer to design and deploy scalable AI/ML systems. This full-time role offers hybrid work with up to 3 days on site at 70 Laurier Ave West, Ottawa, and remote options for those outside the National Capital Region.

You will work with clients, analyze data, build models, and ensure quality through testing and documentation. A STEM degree and 2+ years of production AI/ML experience are required; mastery of Python and ML frameworks is

Qualifications

• University undergraduate degree in STEM or related field.
• Master’s or Ph.D. is considered an asset.
• 2+ years of direct AI/ML production experience.
• Experience in client-facing roles and meeting client demands.
• Strong Python OO programming and communication skills.

Responsibilities

• Design and implement scalable, distributed AI/ML-based systems.
• Design, development, integration, and testing of AI/ML models.
• Advocate high-quality software design and development practices.
• Interact with clients to explain technical concepts to varied stakeholders.
• Perform data analysis, visualization, and modelling with large datasets.
• Meet sprint goals and deliver releases to stakeholders and customers.

Skills

Python programming

Client facing

Communication skills

Team collaboration

Problem solving

Education

Undergraduate STEM degree

Master’s or Ph.D. asset

Tools

TensorFlow

Keras

Scikit-learn

PyTorch

Jax

Git

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

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;
• 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.

• 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;
• 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;
• 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);
• 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;
• 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;
• 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 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 [e-mail] i8NDPV01xh