What are the most popular job searches in Repentigny, QC?

The 10 most popular job searches in Repentigny, QC are: cost analyst it auditor applications developer it director it manager it support it support specialist java developer junior developer junior software developer

Which cities in Canada offer the highest salaries for machine learning jobs?

The top 10 cities are: Victoria, BC ( from $ 38,805 to $ 235,640 year ) Thunder Bay, ON ( from $ 145,000 to $ 235,400 year ) Ottawa, ON ( from $ 93,783 to $ 230,510 year ) North Bay, ON ( from $ 140,000 to $ 225,500 year ) Sainte-Anne-de-Bellevue, QC ( from $ 129,022 to $ 218,677 year ) Kitchener, ON ( from $ 105,500 to $ 213,398 year ) Waterloo, ON ( from $ 141,000 to $ 206,795 year ) Waterloo, QC ( from $ 141,000 to $ 206,795 year ) Bradford West Gwillimbury, ON ( from $ 95,000 to $ 203,692 year ) Quinte West, ON ( from $ 95,000 to $ 203,692 year )

Machine learning Jobs in Repentigny, QC

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Machine learning • repentigny qc

Last updated: 3 days ago

Data Engineer-Hybrid(Montreal )

UpstaffMontreal East, QC, ca

Full-time

Location: Montreal, QC ( 3 days onsite is must).Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.Migrate existing data...Show more

Contremaitre – Mécanicien de machineries fixes (1A)

KRONOS Canada, Inc.Varennes, QC, CA

Permanent

Implantée depuis plus de 60 ans au Québec, KRONOS Canada Inc.Ayant à cœur le bien-être de ses employés, KRONOS offre un environnement de travail stimulant jumelé à des avantages et des conditions d...Show more

Mobile Mortgage Specialist

The Toronto-Dominion Bank (Canada)Repentigny, Québec

Full-time

TD is a customer-focused personal and small business banking business.Serving more than 11 million customers nationally, TD Canada Trust provides a full range of financial products and services thr...Show more

Insurance Advisor, Home and Auto - Advice Centre (Bilingual)

Royal Bank of Canada>VARENNES, Canada

Full-time

We will provide you with the tools, training and support you need to successfully complete the Damage Insurance Certificate delivered by l’Autorité des marches financiers (AMF) and the Other than L...Show more

Technicien de maintenance d’équipement de bâtiment - centre de donnée/ Building Equipment Maintenance Technician - Data Center

Amazon Data Services Canada, Inc. - E09Varennes, Quebec, CAN

Full-time

Joignez-vous à AWS et contribuez à propulser l’avenir de l’infrastructure infonuagique !.Vous êtes passionné par la technologie, la maintenance et les systèmes essentiels à grande échelle ? En tant...Show more

Remote Senior Data Scientist - AI Trainer

SuperAnnotateVarennes, Quebec, CA

Remote

Full-time

As a Senior Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, as well as generate high-quality reference solutions...Show more

Chargé de projets manufacturier / Project Manager - Manufacturing

Hitachi RailVarennes, Quebec, Canada

Full-time

À Hitachi Énergie, nous façonnons un avenir énergétique durable pour tous.En tant que Chef de projets en ingénierie mécanique, vous dirigerez des projets stratégiques visant à améliorer nos install...Show more

Insurance Advisor, Home and Auto - Advice Centre (Bilingual)

0000055739 RBC Insurance Agency Ltd.REPENTIGNY, Quebec, Canada

Full-time

Opérateur de machine agglomération - Composantes électriques - Poste de nuit

WAJAXPointe-aux-Trembles, QC, CA

Full-time

Le titulaire du poste sera responsable d'opérer la machine servant à agglomérer des pôles de rotors pour la production d'énergie hydro-électrique.Procéder au montage mécanique nécessaire à l’agglom...Show more

Welder-assembler

Comptoir Agricole Ste-Anne Inc.Repentigny, QC, Canada

Full-time +1

Education: College, CEGEP or other non-university certificate or diploma from a program of 1 year to 2 years.Interpret welding process specifications.Operate manual or semi-automatic, fully automat...Show more

Remote Senior Data Scientist - AI Trainer

SuperAnnotateRepentigny, Quebec, CA

Remote

Full-time

Mecanicien machinerie roulante

Randstad CanadaMontréal-Est, Quebec, CA

Permanent

Quick Apply

Vous possédez un talent naturel pour diagnostiquer les pannes et vous aimez que tout roule comme sur des roulettes ? Nous recherchons actuellement un mécanicien de machinerie roulante pour rejoindr...Show more

Remote Senior Data Scientist - AI Trainer

SuperAnnotateLAssomption, Quebec, CA

Remote

Full-time

Food demonstrator - retail

Promo-StaffVarennes, QC, Canada

Part-time +1

Education: Secondary (high) school graduation certificate.Experience: 7 months to less than 1 year.Solicit sales and sell goods or services.Set up and display merchandise on sidewalks, at public ev...Show more

Technicien de Centre de Données / Data Center Technician, Operations Centre de Données / Data Center TechnicianData Center Operations

Amazon Data Services Canada, Inc.Varennes, Quebec, CAN

Full-time +1

AWS Infrastructure Services est responsable de la conception, de la planification, de la livraison et de l'exploitation de toute l'infrastructure mondiale d'AWS.En d'autres termes, nous sommes les ...Show more

Data Engineer-Hybrid(Montreal )

UpstaffMontreal East, QC, ca

4 days ago

Job type

Full-time

Job description

Job Description

Client: Morgan Stanley

Position: Data Engineer

Location: Montreal, QC ( 3 days onsite is must)

Duration: 12+ Months

In person interview is MUST.

Data Engineer

KEY RESPONSIBILITIES:

Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
Identify and optimize new/existing data workflows.
Identify and implement data integrity practices.
Integrate data governance and data science tools with Snowflake ecosystem as per practice.
Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
Collaborate with team members to design and implement effective data workflows and transformations.
Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
Participate in code reviews and provide constructive feedback to improve team deliverables quality
Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
Design, implement data distribution layer using Snowflake REST API.

SKILLS / QUALIFICATIONS

Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
Snowflake REST API experience is required
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Excellent problem-solving skills and team-oriented mindset
Strong data modelling concepts and schema design on relational data store and on cloud data store
Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required

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(5 Time slots for Next 3 Business Days):

Requirements

SKILLS / QUALIFICATIONS

Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
Snowflake REST API experience is required
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Excellent problem-solving skills and team-oriented mindset
Strong data modelling concepts and schema design on relational data store and on cloud data store
Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required

Requirements
SKILLS / QUALIFICATIONS Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred) 5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store. Snowflake REST API experience is required Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets Informatica ETL and/or Talend ETL experience. Efficient SQL and PLSQL queries development and Python scripts development experience. Proven ability to work in distributed systems Proficiency with relational databases (such as DB2) querying and focus on data transformations. Excellent problem-solving skills and team-oriented mindset Strong data modelling concepts and schema design on relational data store and on cloud data store Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles. Familiarity with data visualization tools such as Tableau and PowerBI is a plus. Collaborating with data scientists/experts to integrate machine learning models into Snowflake Data Warehousing background is required