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Larus Technologies

AI/ML software for defence analytics

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeOttawa, ON, Canada$80k - $95k

About the Job

Requirements

  • A university undergraduate degree in a STEM field, such as Computer Engineering, Software Engineering, Electrical Engineering, Applied Mathematics, Engineering Physics, Economics, or Computer Science.
  • At least 2 years of direct experience designing, developing, deploying, and verifying AI/ML models in production pipelines.
  • Experience in a client-facing role, regularly meeting client demands.
  • Strong object-oriented programming skills in Python.
  • Strong communication skills.
  • Ability to work in a dynamic, fast-paced work environment.
  • Organized and focused.
  • Ability to meet qualifications to obtain a Canadian Government security clearance, typically requiring Canadian citizenship or Canadian permanent residence.
  • Proficiency with Python, machine learning, data mining, AI/ML packages such as TensorFlow, Keras, scikit-learn, PyTorch, and JAX, Python data analysis and manipulation tools such as pandas, NumPy, and Dask, source control systems such as Git, trend analysis, predictive modeling, data collection, data analysis, and reporting.

Responsibilities

  • Design and implement scalable, distributed AI/ML-based systems.
  • Design, develop, integrate, and test AI/ML models.
  • Advocate for high-quality software design and development best practices.
  • Work closely with other team members on system integration and validation.
  • Perform data analysis, visualization, and modeling with large datasets.
  • Interact independently with clients and explain 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.
  • Perform other duties as assigned.

Desired Qualifications

  • A Master’s or Ph.D. degree.
  • Experience with MLOps tools such as Kubeflow.
  • Experience with distributed computing technologies such as cloud platforms, Docker, Kubernetes, and Dask.
  • Experience with software unit testing, such as Python unittest.
  • Experience with continuous integration and continuous deployment systems such as Azure DevOps.
  • Experience with data visualization tools such as Matplotlib, Seaborn, and Streamlit.
  • Experience with optimization tools such as Optuna, Katib, jMetalPy, and genetic algorithms.
  • Knowledge of mathematics, including linear algebra, statistics, and mathematical programming.
  • Ability to work with client stakeholders across all organizational levels, 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.

About the Company

Larus Technologies

AI/ML software for defence analytics

Larus Technologies develops AI-powered software for defense, security, and enterprise sectors, licensing proprietary software and providing integration services. Their products Total::Insight, Total::Perception, and Total::Vision fuse data, model scenarios, and analyze imagery to support decision-making, with Insight fusing sensor data, trackers, and weather to detect patterns, predict behaviors, and spot anomalies in real time. They differentiate themselves through a long defense-contract track record, focus on data fusion and decision-support for national security, and close collaboration with clients’ engineering teams to tailor solutions, aligning with the US DoD information-fusion approach (JDL). Their goal is to expand AI-enabled decision-support across defense and commercial markets, grow their SaaS and service offerings, and strengthen government partnerships.

Company size
51-200
Company stage
Grant
Total funding
$800K
Headquarters
Ottawa, Canada
Founded
1995

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