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Machine Learning Engineer Data Science Intern Jobs in Ontario

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Work with real-time data and content coming from various data sources. * Manage machine learning ... Graduate degree in Computer Science with a strong background in machine learning required. * Strong ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

BDO Canada

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

BDO Canada

Senior Machine Learning Engineer

London, ON · On-site

CA$84K - CA$128K/yr

Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON · On-site

CA$84K - CA$128K/yr

Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Clio

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... Collaborate cross-functionally with engineering, product management, operations and data science to ...

Machina Labs

Machine Learning Engineer

Chatsworth, ON · On-site

CA$160K - CA$190K/yr

You'll work closely with our engineering team to transform raw data into actionable intelligence ... Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely ...

Td

Data Science Intern/Co-op (WINTER 2027)

Toronto, ON · On-site

CA$45K - CA$74K/yr

Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to ... Support the development of AI, machine learning, data science, and advanced analytics solutions

Posted today

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... data scientists, and pathology domain experts to integrate research into production systems ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... data scientists, and pathology domain experts to integrate research into production systems ...

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Machine Learning Engineer Data Science Intern information

What does a machine learning engineer data science intern do?

A Machine Learning Engineer Data Science Intern assists in developing and implementing machine learning models and data-driven solutions under the guidance of experienced professionals. The role typically involves data preprocessing, feature engineering, model training, and evaluation. Interns often collaborate with teams to solve real-world problems using statistical analysis and programming. They gain hands-on experience with popular tools and frameworks, such as Python, TensorFlow, and scikit-learn. This internship helps build foundational skills for a future career in machine learning and data science.

What kinds of projects does a machine learning engineer data science intern typically work on, and how are they supported by their team?

As a Machine Learning Engineer Data Science Intern, you will often be assigned to real-world projects such as building predictive models, cleaning and preprocessing data, and assisting with the deployment of machine learning solutions. You’ll collaborate closely with senior data scientists, software engineers, and sometimes product managers, receiving guidance during code reviews and regular team meetings. The environment is typically fast-paced and supportive, encouraging learning through mentorship and hands-on experience. Interns are expected to communicate their findings clearly and contribute to the team’s problem-solving efforts.

What are the key skills and qualifications needed to thrive as a machine learning engineer data science intern, and why are they important?

To thrive as a Machine Learning Engineer Data Science Intern, you need a strong background in mathematics, statistics, and programming (typically Python), supported by coursework or a degree in computer science, data science, or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Problem-solving skills, intellectual curiosity, and effective communication make a candidate stand out in collaborative and dynamic environments. These skills are vital for analyzing complex datasets, building reliable models, and clearly communicating insights that drive data-driven decision-making.

What cities in Ontario are hiring for Machine Learning Engineer Data Science Intern jobs?

Cities in Ontario with the most Machine Learning Engineer Data Science Intern job openings:

Machine Learning Engineer

Toronto, ON • Remote

NTENT
See more jobs at NTENTexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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