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Principal Machine Learning Engineer Jobs in Morris, Manitoba

Jr. Machine Learning Engineer, Advanced Analytics & Mlops
By CIBC At Toronto, Ontario, Canada
You have an a degree in: computer science, engineering, the natural sciences, math, other related quantitative field, or relevant work experience.
Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
What You Need To Know
Machine Learning Infrastructure Engineer - (Multiple Levels)
By Slack At Toronto, Ontario, Canada
Have 3+ years experience with software engineering.
Worked on complex issues where the analysis requires an in-depth knowledge of the company and existing architecture.
Work well with a team of diverse backgrounds and experience on complicated projects.
Have experience developing, monitoring, and deploying systems in cloud environments like AWS, Azure, and GCP
Have experience with ops tools and frameworks such as Terraform, Chef, and Kubernetes
Have experience with ML model serving frameworks/toolkits like Kubeflow, MLflow, and Sagemaker
Machine Learning Engineer, Amazon Ads
By Amazon At Toronto, Ontario, Canada
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Bachelor's degree in computer science or equivalent
Senior Machine Learning Engineer (Modeling)
By Cash App At Toronto, Ontario, Canada
5+ years experience with applied Machine Learning or Deep Learning
An appreciation for the connection between the software you build and the experience it delivers to customers
Paid Life insurance, AD&D, and disability benefits
Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
MySQL, Snowflake, GCP/AWS and Tableau
A graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical field
Senior Machine Learning Engineer
By Clarivate At Toronto, Ontario, Canada
Minimum 5 years relevant work experience (including internships).
Identifies strategic information needs of internal clients and translates these into data requirements to build high performance data stores.
Experience with Data Science and supporting data scientists to get their models successfully deployed to production.
Extensive knowledge of deployment tools such as AWS, Google Cloud, Azure, Docker, Flask, MLFlow, and Airflow.
Master's degree in Computer Science, Technology, or Engineering preferred.
Proven track record in the application of ML/NLP/Search Engine/Big Data.
Machine Learning Engineer - Mlops
By Proofpoint At Toronto, Ontario, Canada
At least 4 years of experience in machine learning model development and MLOps.
3+ years’ experience designing, developing, and supporting applications in a cloud environment.
Strong experience with Python and machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn.
Strong experience with cloud platforms such as AWS, GCP or Azure and their associated machine learning services.
Experience with containerization technologies such as Docker and Kubernetes.
Strong experience with continuous integration and delivery (CI/CD) pipelines and related tools.
Machine Learning Engineer Jobs
By Autodesk At Toronto, Ontario, Canada
Experience in Deep Learning techniques such as: CNNs, RNNs, and various generative networks
Knowledge of standard deep learning frameworks such as TensorFlow, PyTorch
Good coding skills covering procedural as well as data-analytics oriented languages (such as Python)
Good communication skills and an awareness of how to communicate data and results effectively
You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
You have strong interpersonal skills and ability to work effectually as a member of team with minimal supervision
Solution Engineer - Data And Machine Learning
By Shakudo At Toronto, Ontario, Canada
Familiarity with Shakudo's tech stack, including experience developing on Kubernetes and infrastructure as code with tools like Terraform.
Exceptional communication, presentation, and problem-solving skills.
Bachelor's degree or equivalent experience in a related technical field.
Partner with the sales team, providing technical expertise during sales interactions, understanding customer needs, and proposing suitable solutions.
Conduct technical presentations and demonstrations, showcasing how Shakudo's platform can address specific business needs.
Serve as the primary technical contact for customers during the sales process, resolving issues, and providing guidance.
Principal Machine Learning Engineer, New Initiatives
By Dropbox At Toronto, Ontario, Canada
You will build delightful products and experiences for millions, while working alongside an excellent, multi-functional team across Engineering, Product and Design
BS, MS, or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
10+ years of experience building machine learning or AI systems in applied settings
Demonstrated skill develop deep learning model architectures in practice
Strong communication skills and a demonstrated passion for helping others leverage machine learning
Proven software engineering skills across multiple languages Python, C/C++ and ML packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch)
Conseiller(Ère) Principal(E), Systèmes D’apprentissage, Workday « Learning »_Fr
By Intact At Toronto, Ontario, Canada
Certification Workday Learning, ou expérience équivalente.
Collaborer avec le responsable RH de la formation et agir en tant qu’administrateur de Workday Learning.
Orienter les décisions et les recommandations en fonction des meilleures pratiques liées à Workday Learning.
Encadrer et conseiller divers partenaires d’apprentissage Workday dans l’organisation sur les normes et les pratiques exemplaires de l’industrie.
Démontrer les options de conception à l’aide du prototypage.
Configurez et testez le système Workday Learning.
Machine Learning Engineer Internship
By Multiverse Computing At Toronto, Ontario, Canada
Knowledge of Python, Scikit, and TensorFlow.
Experience using git, unit testing, and docker.
Knowledge of quantum physics / quantum computing.
A mix of remote and office work.
Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
Work with Fortune-500 customers from government and private sectors.
Rfs Machine Learning Engineer
By Raise At North York, Ontario, Canada
Faster learner who constantly learns new skills and is willing to share knowledge.
Minimum 5 years of experience using Python/R, proficiency of broad array of Python/R packages.
Minimum 2 years of experience working with NLP.
Minimum 2 years of experience in MLOps e.g., productionizing and monitoring ML solution.
Must have good experience in web scraping and ingestion of wide range of data sources.
Experience or understanding of LLM, e.g., GPT 3.5 or 4 and prompt engineering is highly valuable.
Senior Machine Learning Engineer, Trilogy (Remote) - $400,000/Year Usd
By Crossover At Scarborough, Ontario, Canada
Using your technical acumen and tools like OpenAI Code Interpreter, LangChain, and AWS Glue to revolutionize our educational services.
Enough coding experience to assemble a set of prompts into a working prototype service in a single day
Experience working with CodeInterpreter, LangChain, AWS Glue, and AI Orchestration tools to create 100% AI-based workflows
Prior successful experience automating manual processes
Senior Machine Learning Engineer key responsibilities
Rolling up your sleeves, evaluating outputs, building prototypes, and doing whatever it takes to push the quality bar higher.
Senior Machine Learning Engineer
By ApplyBoard At Kitchener, Ontario, Canada
Present model capabilities and output to senior leadership
5+ years of experience as back-end software engineer
3+ years of experience in productionizing machine learning (ML) systems
Hands-on experience of deploying ML models/systems to cloud infrastructure
Experience with one of the Infrastructure as Code tools (Terraform, AWS CDK, etc)
Make a difference in the lives of thousands of students as they explore educational opportunities
Engineer - Machine Learning Track
By Huawei Technologies Canada Co., Ltd. At Waterloo, Ontario, Canada
Strong knowledge of C/C++ programming concepts with a focus on parallel programming
Experience developing applications targeting ARM architectures (ARM Neon SIMD programming is an asset)
Knowledge of Deep Learning / Machine Learning
Knowledge of Computer Vision or Natural Language Processing is an asset
Knowledge of GPU and/or DSP programming for mobile devices is an asset
Experience with Python programming or Deep Learning frameworks such as TensorFlow, PyTorch is an asset
Machine Learning Infrastructure Engineer - Up To $200,000 Cad + Bonus - Montreal (Hybrid)
By Hunter Bond At Montreal, Quebec, Canada
3 years+ experience as a Software Engineer
Extensive commercial experience in Python
Experience with infra (ML Ops)
Up to $200,000 CAD salary + Bonus + Benefits
Machine Learning Engineer - Up to $200,000 CAD + Bonus + Benefits - Montreal (Hybrid)
Develop efficient platforms to deploy machine learning models.
Sr. Validation Engineer - Machine Learning
By AMD At Markham, Ontario, Canada
Strong knowledge of Device drivers, graphics, multimedia, Codec.
Test Execution Experience in an automation lab with multiple systems.
Strong understanding & Hands-on exp. with Linux OS internals, device manager.
Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level.
Strong analysis, problem-solving & interpersonal skills.
Good verbal & written communication skill is a must.
Junior Machine Learning Engineer
By Symend At Calgary, Alberta, Canada
Exceptional interpersonal and relationship management skills
Take initiative in communicating ideas, requirements and challenges to the team lead and product managers.
Strong software engineering experience in Python, REST API development, and maintenance in a production environment
Knowledge of deployment practices such as code profiling, multiprocessing, database, API load/stress testing, unit testing, and API schema validation
Knowledge of version control systems and concepts such as Git and GitFlow
Knowledge of CI/CD process such as Azure DevOps Pipelines, Github Actions
Machine Learning Engineer, Cardiac Sciences
By University of Calgary At Calgary, Alberta, Canada
Management and Staff Careers website
Manage own time effectively and ensure immediate reports to manager is kept informed of activities and progress of work
Demonstrate strong communication and organizational skills
At least 3 years of machine learning or data science experience in academia and/or industry
Advanced theoretical knowledge of supervised, unsupervised, and deep learning methods
Extensive experience with high-performance computing including using GPUs for deep learning
Machine Learning Engineer - Up To $200,000 Cad + Bonus - Montreal (Hybrid)
By Hunter Bond At Montreal, Quebec, Canada
3 years+ experience as a Machine Learning Developer
Extensive commercial experience in Python
Experience with infra (ML Ops)
Up to $200,000 CAD salary + Bonus + Benefits
Machine Learning Engineer - Up to $200,000 CAD + Bonus + Benefits - Montreal (Hybrid)
Develop and deploy scalable and efficient systems to serve machine learning models.
Machine Learning Engineer- Up To $200,000 Cad + Bonus + Package
By Hunter Bond At Montreal, Quebec, Canada
3 years+ experience as a Machine Learning Developer
Extensive commercial experience in Python
Experience with infra (ML Ops)
Develop and deploy scalable and efficient systems to serve machine learning models.
Improve the performance of deep learning models during training and inference.
Lead and participate in cross-functional collaboration with various departments to drive projects and initiatives.

Are you a passionate Machine Learning Engineer looking to make an impact? We are looking for a Principal Machine Learning Engineer to join our team and help us build the next generation of AI-powered products. You will be responsible for developing and deploying ML models, designing and optimizing ML pipelines, and collaborating with other engineers to create innovative solutions. If you are excited to work on cutting-edge technology and have a passion for ML, then this is the job for you!

What is Principal Machine Learning Engineer Skill Requirements?

• Expertise in machine learning algorithms, data mining, and statistical modeling
• Proficiency in programming languages such as Python, R, Java, and C++
• Knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Ability to design and implement machine learning models and pipelines
• Experience with cloud computing platforms such as AWS, Google Cloud, and Azure
• Knowledge of software engineering best practices
• Strong communication and collaboration skills

What is Principal Machine Learning Engineer Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
• 5+ years of experience in machine learning engineering
• Experience with data engineering and data science
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Experience with DevOps and CI/CD

What is Principal Machine Learning Engineer Knowledge?

• Knowledge of machine learning algorithms and techniques
• Knowledge of data engineering and data science
• Knowledge of big data technologies
• Knowledge of software engineering best practices
• Knowledge of cloud computing platforms

What is Principal Machine Learning Engineer Experience?

• 5+ years of experience in machine learning engineering
• Experience with data engineering and data science
• Experience with big data technologies such as Hadoop, Spark, and