Enabling seamless integration between MLFlow model lifecycle artifacts (models, runs, metadata, metrics) and enterprise MRM platforms * Designing and developing scalable, secure, and high-performance ...
Enabling seamless integration between MLFlow model lifecycle artifacts (models, runs, metadata, metrics) and enterprise MRM platforms * Designing and developing scalable, secure, and high-performance ...
Implement MLflow-based experiment tracking, model versioning, lineage, quality gates, staged promotion, and rollback. * Capture reproducible run manifests, validate prediction completeness, and ...
Implement MLflow-based experiment tracking, model versioning, lineage, quality gates, staged promotion, and rollback. * Capture reproducible run manifests, validate prediction completeness, and ...
Developper et deployer des solutions d'IA sur la plateforme Databricks, en exploitant notamment MLflow, Delta Lake, Unity Catalog et les capacites IA natives de la plateforme. * Concevoir, developper ...
Developper et deployer des solutions d'IA sur la plateforme Databricks, en exploitant notamment MLflow, Delta Lake, Unity Catalog et les capacites IA natives de la plateforme. * Concevoir, developper ...
Ingenieur MLOps
Montreal, QC · On-site
Concevoir, developper et maintenir des pipelines CI/CD et d'integration de modeles ML, en assurant reproductibilite et tracabilite (MLFlow). * Orchestrer des pipelines ML complexes dans des ...
Ingenieur MLOps
Montreal, QC · On-site
Concevoir, developper et maintenir des pipelines CI/CD et d'integration de modeles ML, en assurant reproductibilite et tracabilite (MLFlow). * Orchestrer des pipelines ML complexes dans des ...
Developper et deployer des solutions d'IA sur la plateforme Databricks, en exploitant notamment MLflow, Delta Lake, Unity Catalog et les capacites IA natives de la plateforme. * Concevoir, developper ...
Developper et deployer des solutions d'IA sur la plateforme Databricks, en exploitant notamment MLflow, Delta Lake, Unity Catalog et les capacites IA natives de la plateforme. * Concevoir, developper ...
AI Engineer - Banking Domain
Montreal, QC · On-site
MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG architectures. * Cloud proficiency: Azure (preferred), AWS, or GCP. * Knowledge of OSFI E-23 ...
Quick apply
AI Engineer - Banking Domain
Montreal, QC · On-site
MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG architectures. * Cloud proficiency: Azure (preferred), AWS, or GCP. * Knowledge of OSFI E-23 ...
MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG architectures. * Cloud proficiency: Azure (preferred), AWS, or GCP. * Knowledge of OSFI E-23 ...
MLflow, Kubeflow, Azure ML, or SageMaker. * LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG architectures. * Cloud proficiency: Azure (preferred), AWS, or GCP. * Knowledge of OSFI E-23 ...
Avoir de l'expérience avec une plateforme d'observabilité AI comme LangFuse, weight & biases ou MLFlow * Expérience avec des frameworks comme Pydantic AI, CrewAI, AutoGen ou équivalent
Quick apply
Avoir de l'expérience avec une plateforme d'observabilité AI comme LangFuse, weight & biases ou MLFlow * Expérience avec des frameworks comme Pydantic AI, CrewAI, AutoGen ou équivalent
Applied AI Engineer
Montreal, QC · On-site
MLOps tooling (Weights & Biases, MLflow, DVC, etc.) * Active learning or human-in-the-loop labeling workflows * C++ for integrating with our computer vision pipeline What we offer * Real impact: your ...
Applied AI Engineer
Montreal, QC · On-site
MLOps tooling (Weights & Biases, MLflow, DVC, etc.) * Active learning or human-in-the-loop labeling workflows * C++ for integrating with our computer vision pipeline What we offer * Real impact: your ...
Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices. Engineering & Implementation: * Build, test, and deploy ...
Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices. Engineering & Implementation: * Build, test, and deploy ...
Applied AI Engineer
Montreal, QC · On-site
MLOps tooling (Weights & Biases, MLflow, DVC, etc.) * Active learning or human-in-the-loop labeling workflows * C++ for integrating with our computer vision pipeline What we offer * Real impact: your ...
Quick apply
Applied AI Engineer
Montreal, QC · On-site
MLOps tooling (Weights & Biases, MLflow, DVC, etc.) * Active learning or human-in-the-loop labeling workflows * C++ for integrating with our computer vision pipeline What we offer * Real impact: your ...
Expert Solution Architect
Montreal, QC · On-site
Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices. Engineering & Implementation: * Build, test, and deploy ...
Expert Solution Architect
Montreal, QC · On-site
Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices. Engineering & Implementation: * Build, test, and deploy ...
Expert, AI Engineer
Montreal-est, QC · On-site
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms* * Experience implementing ...
Expert, AI Engineer
Montreal-est, QC · On-site
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms* * Experience implementing ...
Strong expertise in model lifecycle tooling including MLFlow, registries, validation gates, and promotion workflows * Advanced experience designing CI/CD, canary, rollback, and deployment safety ...
Strong expertise in model lifecycle tooling including MLFlow, registries, validation gates, and promotion workflows * Advanced experience designing CI/CD, canary, rollback, and deployment safety ...
$120 - $180/hr
... MLFlow, registries, validation gates, and promotion workflowsAdvanced experience designing CI/CD, canary, rollback, and deployment safety systems for MLExperience with feature stores, online/offline ...
$120 - $180/hr
... MLFlow, registries, validation gates, and promotion workflowsAdvanced experience designing CI/CD, canary, rollback, and deployment safety systems for MLExperience with feature stores, online/offline ...
Expert, AI Engineer
Montreal-est, QC · On-site
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms* * Experience implementing ...
Expert, AI Engineer
Montreal-est, QC · On-site
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms* * Experience implementing ...
Familiarity with tools and platforms such as MLflow, Langfuse, LangSmith, OpenTelemetry, Grafana, CI/CD pipelines, or comparable evaluation and observability tooling. * Publications, patents, open ...
Familiarity with tools and platforms such as MLflow, Langfuse, LangSmith, OpenTelemetry, Grafana, CI/CD pipelines, or comparable evaluation and observability tooling. * Publications, patents, open ...
SAP iXp Intern - AI Engineer
Montreal, QC · On-site
Exposure to MLOps/LLMOps tools (MLflow, BentoML), observability, and cost-conscious deployment. * Experience with agentic frameworks (LangChain, LangGraph) or multi-tool orchestration. * Knowledge of ...
New
SAP iXp Intern - AI Engineer
Montreal, QC · On-site
Exposure to MLOps/LLMOps tools (MLflow, BentoML), observability, and cost-conscious deployment. * Experience with agentic frameworks (LangChain, LangGraph) or multi-tool orchestration. * Knowledge of ...
New
Avoir de l'experience avec une plateforme d'observabilite AI comme LangFuse, weight & biases ou MLFlow * Experience avec des frameworks comme Pydantic AI, CrewAI, AutoGen ou equivalent * Experience ...
Avoir de l'experience avec une plateforme d'observabilite AI comme LangFuse, weight & biases ou MLFlow * Experience avec des frameworks comme Pydantic AI, CrewAI, AutoGen ou equivalent * Experience ...
$120 - $160/hr
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow ...
$120 - $160/hr
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow ...
Mlflow information
What is the difference between Mlflow vs Data Scientist?
| Aspect | Mlflow | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning tools, Python, and data management | Degree in Data Science, Statistics, or related field; programming skills |
| Work Environment | Data science teams, machine learning projects, software development | Research, data analysis, model development, cross-functional teams |
| Employer & Industry Usage | Tech companies, AI startups, data-driven organizations | Various industries including tech, finance, healthcare, and retail |
While Mlflow is a platform for managing the machine learning lifecycle, a Data Scientist focuses on analyzing data and building models. Mlflow tools support Data Scientists in tracking experiments, but the roles differ in scope and responsibilities.
What are popular job titles related to Mlflow jobs in Quebec?
For Mlflow jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Mlflow jobs in Quebec look for?
The top searched job categories for Mlflow jobs in Quebec are:
What cities in Quebec are hiring for Mlflow jobs?
Cities in Quebec with the most Mlflow job openings:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 4 days ago
United Airlines rating
7.9
Based on 342 frontline employees who took The Breakroom Quiz
7th of 26 rated airlines
Job description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.
The role is focusing on analysis, design, and development of APIs to support MLFlow integration with the Model Review process and MRM Validation Studio. The position is requiring strong backend engineering skills, solid understanding of system and data architecture, and close alignment with Model Risk Management (MRM) and model validation stakeholders.
The candidate is actively collaborating across technology, model risk, data science, and governance teams while leveraging AI coding agents to accelerate delivery, quality, and consistency.
- Performing analysis, design, and development of APIs to support MLFlow integration with the Model Review process and MRM Validation Studio
- Enabling seamless integration between MLFlow model lifecycle artifacts (models, runs, metadata, metrics) and enterprise MRM platforms
- Designing and developing scalable, secure, and high-performance Java-based APIs
- Building backend services that support model onboarding, validation workflows, auditability, and governance
- Designing and managing data models aligned to MRM, regulatory, and operational requirements
- Working with DB2 and/or MongoDB, ensuring data quality, lineage, and traceability
- Ensuring API designs are aligning with enterprise architecture, security, and compliance standards
- Collaborating closely with data scientists, model validators, risk managers, architects, QA, and DevOps teams
- Participating in design sessions, architecture reviews, and code reviews
- Supporting the full SDLC including development, testing, deployment, and production support
- Leveraging AI coding agents to improve productivity, accelerate development, generate tests, and enhance documentation
- Continuously enhancing API reliability, performance, monitoring, and error-handling mechanisms
- Strong experience in Java application development in enterprise environments
- Hands-on experience with DB2 and/or MongoDB
- Strong experience designing and developing RESTful APIs
- Solid understanding of system architecture, data models, and integration patterns
- Experience integrating platforms with MLFlow or similar model lifecycle management tools
- Experience working in Agile / DevOps environments
- Model Risk Management & ML Platform Knowledge
- Demonstrating a good understanding of Model Risk Management (MRM) concepts, including model lifecycle, validation, governance, and regulatory expectations
- Experience supporting model review, model validation, or risk management workflows
- Familiarity with MLFlow concepts, including model registration, experiment tracking, and metadata management, is strongly desired
- Prior experience in banking or financial services risk environments is a strong plus
- AI Coding & Productivity (Must-Have Requirement)
- Actively using AI coding agents, including:
- GitHub Copilot
- AMP
- Claude Code
- Demonstrating hands-on experience using AI tools for:
- Code generation and refactoring
- Test generation
- Documentation and productivity enhancement
- Practicing responsible and secure usage of AI-assisted development tools
- Demonstrating excellent written and verbal communication skills
- Actively collaborating across cross-functional teams
- Clearly articulating technical concepts to both technical and non-technical stakeholders
- Taking ownership and working proactively in a fast-paced, regulated delivery environment
The base compensation range for this role in the posted location is: 81,000 to 97,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
What United Airlines employees say
Pay
Benefits
Hours and flexibility
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About United Airlines
Sourced by ZipRecruiter
United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.
Industry
Aviation
Company size
10,000+ Employees
Headquarters location
Chicago, IL, US
Year founded
1926