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Dev. Machine Learning Engineering I

EPIC Information Solutions Inc.

Toronto

Hybrid

CAD 70,000 - 110,000

Full time

Today
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Job summary

An innovative firm is seeking a Machine Learning Engineering Developer I to join their dynamic team. This role emphasizes the development and deployment of machine learning pipelines and applications on cloud platforms. The ideal candidate will possess a solid background in software engineering and a passion for applying machine learning models to tackle real-world challenges. Join a company that values diversity and offers a supportive community, where you can thrive and make a meaningful impact in the tech landscape.

Benefits

Medical Benefits
Dental Benefits
Vision Benefits
Mental Health Benefits
35% Discount on Services
Flexible Work Hours
Comprehensive Compensation Package

Qualifications

  • Strong foundation in software engineering principles.
  • Less than 3 years of experience in ML engineering or software development.

Responsibilities

  • Develop and maintain scalable ML pipelines for predictions.
  • Deploy and manage ML models in production environments.

Skills

Machine Learning
Software Engineering
Python
Java
Deep Learning
Problem-Solving
Communication
Collaboration

Education

Bachelor's degree in Computer Science
Relevant experience in lieu of a degree

Tools

TensorFlow
PyTorch
Keras
scikit-learn
pandas
NumPy
Docker
Kubernetes
Airflow
Git

Job description

Req Id: 423270

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

Join us. You belong at Bell.

Summary

We are seeking a highly motivated and skilled Machine Learning Engineering Developer I to join our growing team. This role will focus on the development and deployment of machine learning (ML) pipelines and applications on cloud platforms. The ideal candidate will have a strong foundation in software engineering principles and a passion for applying ML models to real-world problems.

Key Responsibilities
  • Develop and maintain robust and scalable ML pipelines for generating predictions from ML models deployed on cloud platforms (specify preferred platforms, e.g., AWS, Azure, GCP).
  • Deploy and manage ML models in production environments, ensuring high availability, performance, and reliability.
  • Adhere to established standards and best practices for developing and deploying ML pipelines, ensuring code quality, maintainability, and security.
  • Participate in the development of ML applications on cloud platforms, collaborating with data scientists and product teams.
  • Collaborate effectively with data scientists and product teams throughout the ML model lifecycle, from development and testing to deployment and monitoring.
  • Contribute to the continuous improvement of ML infrastructure and processes.
  • Troubleshoot and resolve issues related to ML pipeline performance and deployment.
  • Document code, processes, and best practices.
  • Proactive and results-oriented: Embraces challenges with enthusiasm and a positive "can-do" attitude, consistently exceeding expectations.
  • Innovative and solution-focused: Proactively identifies opportunities for improvement and contributes creative solutions to enhance efficiency and effectiveness.
  • Customer-centric: Demonstrates a strong understanding of customer needs and leverages this knowledge to deliver exceptional service and build strong relationships.
  • Analytical and detail-oriented: Meticulously gathers and analyzes information to effectively identify and resolve complex problems.
  • Collaborative team player: Actively contributes to a positive team environment, fostering collaboration and contributing to shared success.
  • Growth-minded: Actively seeks opportunities to develop new skills and apply them to enhance job performance and contribute to organizational goals.
Critical Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Relevant experience may be considered in lieu of a degree.
  • Less than 3 years of relevant work experience in a machine learning engineering or software development role.
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras – specify preferred frameworks).
  • Proficiency in commonly used machine learning libraries (e.g., scikit-learn, pandas, NumPy – specify preferred libraries).
  • Understanding of computer architecture and hardware, including considerations for optimizing ML model performance.
  • Proficiency in Python or Java (specify preferred language).
  • Experience building and deploying pipelines or applications using tools such as [mention specific tools if applicable, e.g., Docker, Kubernetes, Airflow].
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with cloud platforms (AWS, Azure, GCP – specify preferred platforms).
  • Experience with version control systems (e.g., Git).
  • Experience with CI/CD pipelines.
  • Contributions to open-source projects

#EmployeeReferralProgram

Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management
Job Status:
Regular - Full Time
Job Location:
Canada : Ontario : Toronto || Canada : Quebec : Montreal
Work Arrangement: Hybrid
Application Deadline: 05/16/2025

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada,ON, Toronto

Bell,one of Canada's Top 100 Employers.

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