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Junior Machine Learning Engineer Jobs

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 Intern
By OnDeck Fisheries AI At Vancouver, British Columbia, Canada

At OnDeck, we leverage the power of artificial intelligence to ensure the sustainability of our marine resources. We firmly believe that purpose-built AI has the potential to shape a brighter future ...

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.
Remote--Junior Support Data Scientist/Machine Learning--Full Time
By Visionary Innovative Technology Solutions LLC At Canada
This role is flexible in that you can work from home.
• Thorough troubleshooting, debugging, and problem-solving skills
• Strong C, C++ coding skills, along with Python, C# and Java
• Azure, AWS cloud development experience
Experience in one or more of these areas desirable
• Excellent C/C++ coding skills
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 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 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
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.
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.
Senior Machine Learning Engineer
By HouseSigma At Canada
Advanced knowledge and hands-on experience with NLP or CV
Minimum 3 years of professional experience building and implementing production-scale Machine Learning models
Extensive experience with machine learning libraries (Numpy, Pandas, SciKit Learn, XGB, etc.) for both supervised and unsupervised learning
Hands-on experience writing production ML code in Python and SQL
Excellent communication skills for effective collaboration with product, operations, and DevOps teams
Experience with backend software development
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.
Senior Machine Learning Engineer
By Aarvam Tech Solutions At Ontario, Canada
Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-Learn
Develop and implement machine learning models and algorithms that meet business needs and requirements
Manage end-to-end machine learning pipelines, from data preprocessing to model training and deployment
6 years of overall development experience
At least 2+ years of experience in machine learning and AI software development
Experience with cloud platforms such as AWS, GCP, or Azure and their machine-learning services
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.

Are you a Junior Machine Learning Engineer looking for an exciting opportunity to work with cutting-edge technologies? We are looking for a motivated individual to join our team and help us develop innovative machine learning solutions. You will have the chance to work on challenging projects and collaborate with experienced engineers to create high-performance models. If you are passionate about machine learning and eager to learn, this is the perfect job for you!

Overview:

A Junior Machine Learning Engineer is responsible for developing and deploying machine learning models for a variety of applications. They must have a strong understanding of machine learning algorithms and techniques, as well as the ability to develop and maintain software applications. They must also be able to work with data scientists and other engineers to ensure that the models are accurate and reliable.

Detailed Job Description:

A Junior Machine Learning Engineer is responsible for developing and deploying machine learning models for a variety of applications. They must have a strong understanding of machine learning algorithms and techniques, as well as the ability to develop and maintain software applications. They must also be able to work with data scientists and other engineers to ensure that the models are accurate and reliable. They must be able to identify and analyze data patterns, develop models, and evaluate the performance of the models. They must also be able to interpret the results of the models and make recommendations for improvement.

What is Junior Machine Learning Engineer Job Skills Required?

• Knowledge of machine learning algorithms and techniques
• Ability to develop and maintain software applications
• Ability to work with data scientists and other engineers
• Ability to identify and analyze data patterns
• Ability to develop models and evaluate their performance
• Ability to interpret the results of the models
• Ability to make recommendations for improvement

What is Junior Machine Learning Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• Experience with programming languages such as Python, R, or Java
• Knowledge of machine learning frameworks such as TensorFlow or Keras
• Experience with data analysis and visualization tools such as Tableau or Power BI
• Knowledge of software development best practices

What is Junior Machine Learning Engineer Job Knowledge?

• Knowledge of machine learning algorithms and techniques
• Knowledge of software development best practices
• Knowledge of machine learning frameworks such as TensorFlow or Keras
• Knowledge of data analysis and visualization tools such as Tableau or Power BI

What is Junior Machine Learning Engineer Job Experience?

• Experience with programming languages such as Python, R, or Java
• Experience with developing and deploying machine learning models
• Experience with data analysis and visualization
• Experience with software development best practices

What is Junior Machine Learning Engineer Job Responsibilities?

• Develop and deploy machine learning models for a variety of applications
• Identify and analyze data patterns
• Develop models and evaluate their performance
• Interpret the results of the models
• Make recommendations for improvement
• Work with data scientists and other engineers to ensure that the models are accurate and