239 Rvision jobs in Canada
Data Analysis Team Lead, In-line Inspection
Posted 13 days ago
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Job Description
DarkVision, a Koch Engineered Solutions company, is seeking a Data Analysis Team Lead to join our fast growing In-line (pipeline) Inspection team in North Vancouver, BC . DarkVision leverages cutting-edge proprietary acoustic imaging technology to deliver industry leading asset inspection services, capable of detecting defects as small as a few millimeters. As an ILI (In-Line Inspection) Data Team Lead, you will manage a team of Data Analysts to produce accurate inspection reports critical to the safe operation of oil and gas pipelines.
The ideal candidate has experience leading technical teams to deliver mission-critical results in a fast-paced, entrepreneurial environment. You bring a passion for operational excellence, process optimization, and challenging the status quo. Join our innovative team - comprising experts in machine vision, imaging, computer graphics, and data analytics - as we continue building the world's most advanced platform for industrial imaging and pipeline diagnostics.
Our Team
Our Data Analysts utilize 3D data visualization software and human-in-the-loop machine learning processes to meticulously analyze ultrasound datasets. The outputs of these analyses result in critical insights that enable our clients to make data-informed decisions on the operations and maintenance of multi-million-dollar infrastructure assets.
What You Will Do
- Learn the delivery standards and workflow processes for your assigned ILI product line
- Regularly check in with team members to assess capacity and remove roadblocks or inefficiencies
- Through frequent 1:1 meetings, track team members' progression in their role, deliver constructive feedback, and ensure they receive proper recognition for their work while building a roadmap for their career development
- Facilitate communication between your team and other teams and upper management
- Ensure employees are aligned with the company vision, and that the goals and direction of the team help drive achievement of the vision
- Facilitate the improvement of workflow procedures and best practices; seek out new solutions, seek feedback, and investigate and implement improvement opportunities
- Review projects assigned to Analysts on your team; you are responsible for the content and delivery of projects
- Partner with Recruiting and other Team Leads to recruit and evaluate candidates; a high volume of growth and hiring is expected
- Make informed recommendations for hiring, raises/promotions, performance management, and further training
- Develop new and improve existing processes and standards
- Set project deadlines, assign project leads, and manage follow-up requests
- Forecast team capacity vs. projected projects, offering transparency to stakeholders
Who You Are (Basic Qualifications)
- At least 2 years of engineering or science study at university, college, or technical school
- Experience managing a team producing client deliverables (e.g. reports, analysis)
- Experience managing early to mid-career individuals
- Experience leading process improvement initiatives
What Will Put You Ahead
- Experience in the Oil & Gas industry (e.g. ILI, pipeline or piping integrity, NDE/NDT, well integrity, well logging) or industrial asset inspection services
- Experience managing teams with at least 5 team members
- Experience in rapidly scaling an operation or team
- Able to disseminate complex information and generate pragmatic solutions
- Able to assess and adjust work processes to meet scaling requirements; delegate and prioritize work effectively among the team
For this role, we anticipate paying $85,000 - $110,000 CAD per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Who We Are
As a Koch Engineered Solutions company, DarkVision provides high-resolution acoustic imaging technology that offers significant improvements over existing ultrasonic and other imaging technologies on the market today. We serve customers in a variety of industries, such as public infrastructure, energy and pipelines, power (renewables and conventional), aerospace, manufacturing, automotive and others.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
How to Apply
If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.
We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.
Successful candidates will be required to complete a criminal background check.
keywords: team lead, supervisor, leadership, management, supervision, analyst, analysis, reporting, reports, pipeline integrity, in-line inspection, ILI, asset inspection, condition monitoring, anomalies, cracks, deformation, metal loss, geometry, well integrity, pipes, piping, oil & gas, upstream, midstream
#LI-JN1
Machine Learning Developer
Posted 6 days ago
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25WD85433
**25WD85433, Développeur en apprentissage automatique**
_French translation to follow!/Traduction française à venir!_
**Aperçu du poste**
Autodesk est à la tête de la transformation de l'industrie AEC, en intégrant la technologie de l'IA dans nos produits. Nous améliorons nos applications avec des capacités cloud-natives, y compris les données à l'échelle, l'edge computing, les solutions basées sur l'IA, et la modélisation et les graphiques 3D avancés. IA, ainsi que la modélisation et le graphisme 3D avancés. Cette innovation Cette innovation concerne nos produits phares - AutoCAD, Revit et Construction Cloud - ainsi que Forma, notre nouveau produit Industry Cloud. Cloud - et Forma, notre nouveau Cloud industriel.
En tant qu'ingénieur en apprentissage automatique au sein de l'équipe AEC Solutions, vous rejoindrez une équipe de technologues pour aider à construire les fondations de la technologie. équipe de technologues pour aider à construire des modèles de base et des outils d'IA générative pour l'industrie AEC. générative pour l'industrie AEC. Vous travaillerez en collaboration pour créer et Vous travaillerez en collaboration pour créer et interpréter des données de conception qui peuvent améliorer les flux de travail de conception et d'ingénierie.
Rapport: Vous serez rattaché(e) au responsable de l'apprentissage automatique au sein de l'unité Architecture, ingénierie et construction (AEC).
Architecture, Engineering, and Construction (AEC) Solutions Team.
Lieu de travail : Nous soutenons le travail hybride et vous travaillez près de nos bureaux de Boston,
Massachusetts ou de Toronto, Canada.
**Responsabilités**
+ Collaborer avec d'autres ingénieurs pour développer des pipelines et des architectures de données évolutives
+ Travailler avec des ensembles de données à grande échelle, y compris des données textuelles et géométriques, pour soutenir le prétraitement, l'augmentation, l'analyse et la compréhension du contenu
+ Vous êtes en charge de la conception et de l'exécution d'expériences de modélisation, de l'évaluation des performances et de l'itération sur la base des résultats obtenus
+ Surveillez, dépannez et optimisez les modèles d'apprentissage automatique pour garantir la précision, l'efficacité et une faible latence
+ Effectuer l'analyse des besoins, travailler avec des membres de l'équipe de différents niveaux et documenter les solutions
+ Communiquer vos résultats par le biais d'analyses de données quantitatives, de visuels qualitatifs et d'aperçus
+ Mettre en œuvre des approches agiles garantissant la flexibilité et la réactivité face à l'évolution des besoins du projet
**Qualifications minimales**
+ Une maîtrise en apprentissage automatique, en intelligence artificielle, en mathématiques, en statistiques, en informatique ou dans un domaine connexe
+ 3 - 5+ années d'expérience en ingénierie de l'apprentissage automatique ou dans un domaine connexe
+ Expertise dans la formation de réseaux neuronaux profonds, tels que les CNN et les Transformers, avec une maîtrise des bibliothèques et des cadres modernes d'apprentissage profond (par exemple, PyTorch, Lightning, Ray)
+ Expérience des LLM et des technologies connexes, y compris les cadres, les modèles d'intégration, les bases de données vectorielles et les systèmes RAG (Retrieval-Augmented Generation)
+ Expérience de la modélisation, de l'architecture et du traitement des données à l'aide de diverses représentations de données, y compris la géométrie 2D/3D
+ Expérience des services en nuage AWS et de SageMaker Studio pour le traitement évolutif des données et le développement de modèles
+ Solide compréhension des algorithmes informatiques fondamentaux et de leurs comportements de mise à l'échelle
+ Excellentes compétences en codage dans des langages procéduraux et orientés vers l'analyse de données (par exemple, Python)
+ Capacité à traduire des concepts théoriques en solutions pratiques et en prototypes de mise en œuvre
+ Solides compétences en matière de documentation du code, des architectures et des expériences
+ Expérience en architecture, ingénierie ou construction
+ Expérience pratique de la préparation des données, de la sélection des hyperparamètres, des techniques d'accélération et des méthodes d'optimisation
+ Expérience de la distribution parallèle d'algorithmes à l'aide de plateformes telles que Spark ou Hadoop
+ Expérience pratique dans le développement d'algorithmes d'apprentissage automatique à grande échelle
**Le candidat idéal**
+ Vous êtes passionné par la résolution de problèmes pour les clients AEC (Architecture, Ingénierie et Construction) en appliquant des techniques d'apprentissage automatique
+ Vous êtes à l'aise pour travailler dans des domaines nouveaux et ambigus où l'apprentissage et l'adaptabilité sont des compétences clés
+ Vous collaborez facilement avec les autres et êtes à l'aise avec un minimum de directives
+ Vous vous efforcez constamment d'apprendre de nouvelles technologies et méthodologies
+ Vous cherchez de nouvelles façons de résoudre des problèmes difficiles
+ Vous n'avez pas peur d'exprimer vos idées et d'échouer rapidement
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**25WD85433, Machine Learning Developer**
**Position Overview**
Autodesk is leading the transformation of the AEC industry, integrating AI
technology into our products. We're enhancing our applications with cloud-
native capabilities, including data at scale, edge computing, AI-based
solutions, and advanced 3D modeling and graphics. This innovation is
happening across our flagship products-AutoCAD, Revit, and Construction
Cloud-and Forma, our new Industry Cloud.
As a Machine Learning Engineer on the AEC Solutions team, you will join a
team of technologists to help build foundation models and generative AI
tools for the AEC industry. You will work collaboratively to create and
interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the
Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston,
Massachusetts or Toronto, Canada offices.
**Responsibilities**
+ Collaborate with other engineers to develop scalable data pipelines and architectures
+ Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
+ Write production-quality code for model training, testing, and deployment.Design and execute model experiments, evaluate performance, and iterate based on findings
+ Monitor, troubleshoot, and optimize machine learning models to ensure accuracy, efficiency, and low latency
+ Perform requirements analysis, working with team members of different levels and documenting solutions
+ Communicate your findings through quantitative data analysis and qualitative visuals and insights
+ Implement agile approaches ensuring flexibility and responsiveness toevolving project needs
**Minimum Qualifications**
+ An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
+ 3 - 5+ years of experience in machine learning engineering or a related field
+ Expertise in training deep neural networks, such as CNNs and Transformers, with proficiency in modern deep learning libraries and frameworks (e.g., PyTorch, Lightning, Ray)
+ Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems
+ Experience in data modeling, architecture, and processing using various data representations, including 2D/3D geometry
+ Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development
+ Strong understanding of fundamental computer science algorithms and their scaling behaviors
+ Excellent coding skills in both procedural and data-analytics-oriented languages (e.g., Python)
+ Ability to translate theoretical concepts into practical solutions and prototype implementations
+ Strong documentation skills for code, architectures, and experiment
+ Background in Architecture, Engineering, or Construction
+ Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
+ Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop
+ Practical experience in developing high scale machine learning algorithms
**The Ideal Candidate**
+ You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
+ You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
+ You easily collaborate with others and are comfortable with minimal direction
+ You are constantly striving to learn new technologies and methodologies
+ You seek new ways to solve hard problems
+ You are unafraid to put your ideas out there and fail fast
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.
Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.
Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance et un milieu de travail équitable où tout le monde peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).
Machine Learning Engineer
Posted today
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Job Description
Who We Are:
Muniworth is an innovative SaaS startup dedicated to municipal financial forecasting, empowering local governments to optimize budgeting and strategic financial planning. We are currently building an advanced Machine Learning and AI team to develop internal tooling, enhance our web applications, and create customized solutions for our municipal clients. If you're passionate about leveraging machine learning to drive impactful real-world solutions, Muniworth is the ideal place for you.
Who You Are:
You're an experienced Machine Learning Engineer excited by the prospect of working closely with a talented ML and AI team, under the guidance of our brilliant Lead ML Engineer. You thrive in environments with varied, challenging projects ranging from classic supervised and unsupervised ML tasks to advanced NLP, LLM, and RAG implementations. You're highly proficient with ML frameworks and libraries and ML Ops tools, and love finding innovative ways to apply ML and AI in solving complex problems.
What You'll Do:
- Design, build, and deploy robust machine learning pipelines and model serving infrastructure, ensuring reliable ML workflows from training to production.
- Write clean, maintainable code following software engineering best practices - while this isn't a senior engineering role, candidates should have demonstrated competency in creating readable, well-structured solutions that support collaborative development.
- Collaborate closely with our Lead ML Engineer and ML/AI team on projects spanning classical ML techniques, including feature engineering, dimensionality reduction, clustering, and classification, as well as NLP, Large Language Models, and RAG.
- Optimize model performance and scalability, leveraging your expertise in ML frameworks, model optimization, and distributed computing systems.
- Develop internal ML tools and customized AI-driven solutions for municipal clients, significantly influencing our product direction and company strategy through advanced analytics and predictive modelling.
- Own and manage specific ML-focused projects, balancing responsibilities between model maintenance, performance monitoring, and research into new ML approaches and techniques.
Requirements
What You Bring:
- 3+ years of industry experience in machine learning engineering.
- Proficiency using PyTorch/TensorFlow for implementing custom neural networks and training processes.
- Demonstrated experience writing clean, maintainable code with attention to software engineering best practices.
- Experience using transformer libraries (e.g. Hugging Face) for text classification.
- Experience utilizing traditional ML algorithms creatively to solve complex classification tasks.
- Experience using MLflow or similar for experiment tracking and model registry
- Familiarity using Docker for containerization and orchestration
- Familiarity using Apache airflow for pipeline automation
- Familiarity using Fast API/Flask for model serving APIs
- Familiarity with GitHub Actions for CI/CD
- Exposure to using Redis and Elasticsearch for caching and search
- A master’s degree in computer science, mathematics, statistics, or a related field—or significant practical experience demonstrating equivalent expertise beyond an undergraduate level.
- Excellent problem-solving abilities and strong communication skills, with the capability to articulate complex technical concepts clearly.
- Enthusiasm for innovation, adaptability, and actively contributing to team objectives beyond traditional role boundaries
Benefits
Why Join Muniworth:
- Competitive salary and comprehensive health and dental benefits.
- Flexible working hours (40 hours/week), tailored to your preferred schedule.
- Collaborative, intellectually stimulating environment emphasizing mathematics, innovation, and technical excellence.
- Modern, welcoming office located centrally in downtown Victoria, BC—100% in-person role.
- Regular team-building events and optional social activities.
- Directly influence critical municipal financial infrastructure, making a tangible impact on communities and local governments.
- For an ideal candidate with exceptional experience, we are open to offering compensation beyond the listed salary range.
Hiring Process:
We're actively hiring and eager to onboard exceptional talent as soon as possible. If you're excited by the intersection of data engineering and machine learning, thrive in a dynamic startup environment, and are motivated by meaningful work that impacts municipal governance, we'd love to connect with you. Please include a link to your public GitHub repository!
Machine Learning Engineer
Posted today
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Job Description
Our client is looking for a highly skilled Machine Learning Engineer to join their growing team in Mississauga. This role is ideal for a technically strong and experienced ML professional who thrives in a fast-paced, collaborative environment and is passionate about delivering scalable machine learning solutions on distributed systems such as Hadoop.
Key Responsibilities:
- Design, develop, and implement machine learning models using Spark ML for predictive analytics
- Build and optimize end-to-end training and inference pipelines on distributed platforms
- Process and analyze large datasets to uncover insights and engineer effective features
- Work closely with data engineers to integrate ML models into existing data pipelines
- Fine-tune models and hyperparameters to maximize performance and accuracy
- Develop scalable solutions for both real-time and batch inference
- Continuously monitor deployed models and address any performance issues
- Keep up-to-date with the latest tools, frameworks, and best practices in machine learning and distributed computing
Required Qualifications:
- 10+ years of experience as a Machine Learning Engineer or similar role
- Expertise in Apache Spark and Spark MLlib
- Solid understanding of predictive modeling techniques (e.g., regression, classification, clustering)
- Hands-on experience with distributed systems such as Hadoop
- Proficiency in Python, Scala, or Java
- Strong grasp of data preprocessing and feature engineering methodologies
- Familiarity with model evaluation metrics and production deployment practices
- In-depth knowledge of distributed computing and parallel processing principles
Machine Learning Engineer
Posted today
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Job Description
Salary: $100,000-$20,000+ yearly salary + benefits (See below for more details)
About us:
Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.
As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here:
NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.
Job Overview:
As a Machine Learning Engineer II, you independently design, build, and maintain machine learning systems that deliver impact for our customers and business. You are responsible for deploying reliable, scalable solutions from credit scoring models to intelligent automation and LLM-powered features. You work across the stack to connect ML systems with real user value.
You own end-to-end workflows: from data ingestion and transformation to model training, validation, and online inference. You actively contribute to model quality, observability, and performance optimization. You also help standardize development practices, CI/CD, and deployment tooling for ML systems.
You are expected to integrate modern AI techniques including LLM APIs, embeddings, and generative workflows where appropriate, and help evaluate how they can enhance products and operations. You use AI development tools to accelerate delivery and improve testing and debugging. You also build and maintain automated data pipelines and model services, working across real-time and batch systems.
You work closely with product managers, data scientists, and business stakeholders to clarify problems, evaluate feasibility, and align technical solutions with strategic outcomes. You are a key contributor to the evolution of Springs ML platform and culture.
What youll do:
- Own development of production-grade ML and AI systems from data to deployment.
- Build automated pipelines for training, feature engineering, and model serving.
- Use AI tools to improve development speed and integrate AI capabilities (e.g. LLMs) into products.
- Optimize systems for performance, latency, and cost.
- Collaborate with cross-functional stakeholders to scope projects and communicate results.
- Monitor, retrain, and improve models based on feedback and system metrics.
What You Should Already Have:
- Experience deploying machine learning models into production systems.
- Proficiency in Python and tools such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.
- Strong understanding of model lifecycle, MLOps, and data pipeline design.
- Skills in inference optimization.
- Ability to collaborate with data, product, and business teams on impactful ML features.
- Experience with testing, monitoring, and CI/CD for ML systems.
- Know-hows on cost/benefit analysis for different ML solutions, e.g. Lambda vs. Sagemaker Inference, OpenAI vs. xAI API.
- Comfortable working with AI technologies (LLMs, embeddings, etc.) in applied settings.
What We Will Give You:
- Competitive annual salary ranging from 100,000 to 125,000+ , reflective of experience and impact.
- Comprehensive benefits package, including extended health, dental, and vision coverage with 100% of monthly premiums covered by the Spring.
- GRSP matching program to support your long-term financial goals.
- Transit-Friendly Employer (Transit allowance).
- A modern, collaborative workspace in the heart of downtown Vancouver.
- Ongoing career growth opportunities and the chance to help shape Spring Financials technology strategy and team culture.
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Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.
Thank you for your interest! We appreciate your time and look forward to reviewing your application!
Machine Learning Engineer
Posted today
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Job Description
Salary:
Who we are:
Flashfood is a marketplace app that connects grocery retailers with shoppers to sell food nearing its best-before date at a deep discount. Our mission is to reduce food waste and make food more affordable. By keeping great food out of landfills and helping people access nutritious meals for less, were driving meaningful impact for both people and the planet.
How it works:
- Download the Flashfood app and create an account
- Browse deals at nearby partner grocery stores
- Purchase items through the app
- Pick up purchases from the Flashfood Zone in-store
Role Overview:
Were looking for a Machine Learning Engineer to help power decision-making, personalization, and automation at Flashfood. Reporting to the Director of Data, youll work closely with data analysts, engineers, and product managers to design and deploy machine learning models that improve customer experience, enhance retailer insights, and drive operational efficiency.
This is a hands-on role focused on turning raw data into intelligent, scalable systems that enable better business outcomes. Youll play a key role in building the next generation of ML infrastructure and shaping how predictive technologies are used across the business.
Responsibilities:
Model Development & Deployment
- Design, train, and evaluate machine learning models to support business goals (e.g., recommendation systems, dynamic pricing, demand forecasting, user segmentation)
- Collaborate with data scientists, analysts, and engineers to operationalize models using tools such as Databricks, MLflow, and Spark
- Develop robust pipelines to deploy models into production, ensuring scalability, reliability, and performance
- Monitor model performance over time, retrain as needed, and improve accuracy and impact
Data Engineering & Infrastructure
- Collaborate with data engineering teams to build reliable, well-structured datasets
- Contribute to ML platform and pipeline improvements (CI/CD for ML, observability, feature stores)
- Ensure that models are integrated seamlessly into our core products and tools
Collaboration & Enablement
- Partner with Product, Marketing, and Operations teams to understand challenges and identify ML opportunities
- Present insights and model outcomes to cross-functional stakeholders in a clear and actionable way
- Contribute to team best practices around model development, experimentation, and documentation
Qualifications:
- 35+ years of experience in machine learning or data science roles, with experience deploying models into production
- Proficient in Python and SQL; experience with ML libraries such as scikit-learn, PyTorch, or XGBoost
- Experience working with cloud data environments (e.g., Snowflake, Databricks, AWS)
- Familiarity with ML and data pipeline tools (e.g., MLflow, Airflow, dbt) as well as MLOps best practices
- Strong problem-solving skills and ability to communicate technical concepts to non-technical audiences
- Passion for purpose-driven work and a desire to reduce food waste and make food more accessible
What We Offer:
- Competitive salary
- Comprehensive health, dental, and vision benefits
- Opportunities for growth and learning within a high-impact mission
- Collaborative, remote-first team culture
The chance to help solve one of the planets biggest sustainability challenges
remote work
Machine Learning Engineer
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Job Description
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
About This Opportunity
H2O.ai is at the forefront of the rapidly evolving MLOps landscape. We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Canada. The successful candidate will have a strong background in machine learning and software engineering, with experience in developing and deploying machine learning models in real-world applications. The ideal candidate will have a passion for working with data, a strong understanding of machine learning algorithms and techniques, cloud technology and the ability to communicate complex technical concepts to stakeholders.
This position is based in Toronto, Canada.
What You Will Do
As a Machine Learning Engineer, you will work closely with technical teams on the customer side and Customer Success, Enterprise Support, and Product Engineering teams on the H2O side.
Your primary responsibilities are:
- Deliver technical professional services to the customer.
- Working closely with H2O Data Scientists in advising and developing end to end machine learning solutions (from a data engineering perspective) for the customer requirements.
- Integrating H2O products with customer data sources for model training.
- Integrating machine learning models/pipelines (python and mojo scoring pipelines) with customer systems for scoring (relatime/batch) as well as model monitoring and operations.
- Implementing end to end MLdata flow pipelines that help streamline and data science solutions to a business problem.
- Implementing AI driven applications using the open source H2O Wave SDK.
- Provide/gather customer feedback so that you can work with the H2O.ai Engineering team to further enhance our products for needed features.
- Ensure the scalability, reliability, and performance of deployed models by implementing appropriate monitoring, testing, and debugging processes.
- Work on GenAI tools - LLMs, Fine tuning engines, RAG, create GenAI Apps.
Your additional responsibilities include:
- Be the trusted solutions advisor for our customers and partners.
- Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives.
- Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
What We Are Looking For
- Bachelor’s or a higher education degree in Computer Science/Engineering, data science, statistics or related field
Data Engineering Skills
- Experience building data pipelines, ETL data sets, preferably on ‘Big Data’
- Excellent understanding and experience with big data tools like Hadoop and Spark
- Excellent knowledge of SQL query language and working with relational databases.
- Understanding of various NoSQL database types and their application scenarios
- Experience in Spark/Kafka and Hadoop ecosystem
Programming Languages/Frameworks
- Proficient in Python or R for data science. Java, Bash scripting, Scala Go are a plus
- Experience with writing REST API using microservices frameworks in Python or Java
- Experience with dockerization of services (i.e. creating docker images)
- Understanding of Kubernetes based application development
Data Science skills
- Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi.
- Experience with post production model monitoring tools like H2O ML Ops (plus) MLFlow etc.
- Understanding of using a variety of machine learning techniques (supervised/unsupervised, clustering,
- decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning
- techniques.
- Understanding of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications.
Additional Requirements
- Experience of working in a customer-facing environment, providing technical services
- Excellent communication skills (proficient in spoken and written English). Additional languages are a plus.
- Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset.
How to Stand Out From the Crowd
- Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
- Familiarity with DevOps practices and tools such as Git, Jenkins, ArgoCD.
- Knowledge of data privacy and security principles.
- Experience with natural language processing or computer vision tasks.
- Experience with model interpretability techniques such as feature importance, partial dependence plots, or SHAP values.
- Experience with IaC technologies such as Terraform, AWS Cloud Formation.
- Experience with containerization technologies such as Kubernetes, Docker.
- Experience of debugging/troubleshooting containerized workloads and familiarity with tools such as kubectl, helm etc.
- Market leader in total rewards
- Remote-friendly culture
- Flexible working environment
- Be part of a world-class team
- Career growth
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.
Please visit learn more.
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Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
Company DescriptionQorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
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