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Principal Machine Learning Engineer Jobs in Vancouver, British Columbia

Senior Ai + Machine Learning Engineer
By Nimbyx At Vancouver, British Columbia, Canada
Leverage exceptional mathematical skills to perform computations and work with the algorithms involved in machine learning programming.
Previous experience in machine learning and developing AI products.
Exceptional mathematical skills to perform computations and work with algorithms.
Excellent written and verbal communication skills, with the ability to explain complex processes to non-technical stakeholders.
Strong analytical skills and attention to detail.
Strong knowledge of statistical analysis and data modeling techniques.
Machine Learning Engineer Jobs
By Build AI At Vancouver, British Columbia, Canada
3-Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
2- 3-5 years of experience as a Machine Learning Engineer or similar role.
4-Knowledge of programming languages like Python, Java and R.
1-Develop custom machine learning models and algorithms tailored to specific client needs.
2-Work alongside data scientists to implement ML models and monitor outcomes.
4-Process, clean, and verify the integrity of data used for analysis.
Machine Learning Engineer (Full Stack)
By Meda Agency Inc. At Vancouver, British Columbia, Canada
Design and develop machine learning models and algorithms that effectively translate expert product knowledge into user-friendly outputs.
Explore and evaluate new technologies, frameworks, and tools to enhance the machine learning capabilities of our products.
Proficiency in programming languages such as Python, Ruby, Node.js, and experience with full stack development (frontend, backend, and database).
Hands-on experience in developing and deploying machine learning models in production environments.
Solid knowledge of data structures, algorithms, and software design principles.
Strong problem-solving and analytical skills, with the ability to tackle complex challenges and propose innovative solutions.
Machine Learning Engineer - Customer Experience
By Inverted AI At Vancouver, British Columbia, Canada
Strong experience with Pytorch, Python, reinforcement learning, computer vision, Open AI's gym environments, and stable baselines implementations
Flawless and polite communication skills
3+ years of experience in software development, technical writing, or technical content creation
Experience with reinforcement learning and computer vision
Excellent communication skills and ability to write clear and concise technical documentation
Excellent communication skills and ability to write clear and concise content for non-technical audiences
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
Machine Learning Engineer Wanted To Transform The Future Of Ai
By Civitas Health Services, Inc. At Richmond, British Columbia, Canada
Collaborate with cross-functional teams to identify and define business problems, data requirements, and success metrics.
3+ years of experience in machine learning, with a proven track record of developing and deploying models in production environments.
Experience with data preprocessing, feature engineering, and hyperparameter tuning.
Excellent problem-solving skills and a passion for innovation.
Paid Time Off and Holiday
Implement and optimize algorithms and models to achieve high levels of accuracy and performance.
Machine Learning Engineer Jobs
By Palitronica Inc. At Kitchener, Ontario, Canada
·Strong leadership skills and some experiences are preferred.
·Strong programming skills in Python, C++, or Java.
·Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
·Knowledge of data structures, algorithms, and software design principles.
·Experience with cloud-based ML deployment platforms like AWS, GCP, or Azure.
·Experience with CI/CD pipelines using Drone CI/CD and Gitea.
Machine Learning Engineer Jobs
By DataFinery Inc. At Greater Toronto Area, Canada
Proficient programming skills in Python (knowledge of C++ or Java is a plus).
Minimum of 3 years of experience in software engineering or machine learning engineering.
Experience in GPU programming using CUDA, OpenCL, or similar libraries.
Over 5 years of experience in software engineering or machine learning engineering.
Excellent communication and collaboration skills.
Devise and implement scalable systems to serve deep learning and reinforcement learning models.
Machine Learning Engineer (Contract)
By Elastify At Greater Toronto Area, Canada
Excellent communication skills with ability to distill complexity for senior management
Experience in frameworks such as TensorFlow, PyTorch, MXNet, scikit-learn.
Experience with at least one cloud platform is desirable (e.g., AWS, Azure, GCP).
Fluency in Python and SQL with demonstrated experience in common data manipulation APIs (Application Programming Interface)
Excellent analytical and problem-solving skills that are required to interpret data and draw conclusions
Data Science / Data Scientist experience
Machine Learning Engineer Jobs
By ezPT Technologies Ltd At British Columbia, Canada
·Experience building Natural Language Processing (NLP) powered systems.
·Experience with Deep Learning Framework such as PyTorch or Tensorflow
·Support existing algorithms and design new deep learning based architectures, as required, using industry-leading tools and frameworks.
·Develop scalable and maintainable AI-powered applications that improve the topical understanding of medical documentation.
·Support implementing and training candidate deep learning architectures such as RNNs, Autoencoders and attention-based models.
·Create metrics to continuously evaluate the performance of models and maintain their relevance.
Biomedical Machine Learning Engineer
By Storm3 At British Columbia, Canada
Understand and comply with Quality Management System and regulatory requirements.
Support System Requirement interpretation and allocation to subsystem level requirements, ensuring traceability, specifically for Algorithm related requirements and specs.
Support Regulatory and Quality Manager by supplying necessary testing documentation, as per applicable standards and regulations.
Preference for a specialty of experience in biomedical engineering or medical device development.
Minimum of 3-year experience in a related environment.
Implementation, integration and testing of the algorithms into the device software and firmware
Machine Learning Engineer Jobs
By Webmainland Media At Burnaby, British Columbia, Canada
Good working knowledge of one or more Machine Learning Frameworks (TensorFlow, PyTorch, Keras, PaddlePaddle, MXNet, etc.).
Experienced in deploying machine learning algorithms into production using the latest technologies, such as sklearn,Docker, Kubernetes, etc.
Understand the ML stack at Webmainland and build systems that assist in personalizing the user experience.
, and build systems that help us personalize their users’ experience.
understand the requirements and constraints of the project, and to
·3+ years of experience in developing and implementing machine learning algorithms and models.
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
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 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.
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
Machine Learning Validation Engineer 2
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.
Machine Learning Engineer Jobs
By Correct-AI At Edmonton, Alberta, Canada
5+ years of relevant academic and/or industrial experience in conducting AI/ML projects
Degree in Computer Science, Electrical Engineering, or a related field
Expertise with Python, Java, C++, and Linux operating systems
Expertise with Machine Learning and Object Detection techniques
Machine Learning Engineer (Large Language Models)
By BASF At Mississauga, Ontario, Canada
Excellent programming skills in Python, and experience with machine learning frameworks such as TensorFlow or PyTorch.
Share your knowledge and expertise with colleagues and promote a culture of AI-driven innovation within the organization.
Strong experience in working with deep learning architectures like transformers and related models (such as GPT-3 or similar models).
Experience with cloud platforms (ideally Microsoft Azure), containerization technologies and with deploying and managing AI solutions in a cloud environment.
Excellent problem-solving, critical thinking, and communication skills.
Experience in prompt engineering and fine-tuning large language models for specific applications, experience with frameworks like LangChain or LlamaIndex.
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
Sr. Machine Learning Validation Engineer
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.
Machine Learning Engineer Jobs
By eTeam At Ontario, Canada
Must have 3-5 years of direct professional experience.
Fully remote is ok so long as it's in the US time zone. Ideally, candidate is available PST or CST hours.
Excellent analytical and problem-solving skills with an aptitude for troubleshooting issues.
Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components.
Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis.
Experienced in using SQL for querying data from relational tables.

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