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Tensorflow Jobs in Ontario (NOW HIRING)

Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse ...

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

Senior Deep Learning Engineer

Toronto, ON ยท On-site +1

$130K - $180K/yr

Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency * Experience with C/C++ Preferred ...

Senior Deep Learning Engineer

Toronto, ON ยท On-site +1

$130K - $180K/yr

Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency * Experience with C/C++ Preferred ...

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

Handson experience with machine learning frameworks/libraries and platform tools (e.g., scikitlearn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow). * Solid understanding of ML algorithms ...

Handson experience with machine learning frameworks/libraries and platform tools (e.g., scikitlearn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow). * Solid understanding of ML algorithms ...

Manager Cyber Cloud Security and AI

Toronto, ON ยท Hybrid

CA$116K - CA$166K/yr

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

Manager Cyber Cloud Security and AI

Ottawa, ON ยท Hybrid

CA$116K - CA$166K/yr

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. * Knowledge of natural language processing techniques and LLMs. * Model Development and Deployment: * Experience in ...

AI Engineer

Ottawa, ON

CA$75K - CA$110K/yr

Experience with machine learning frameworks (PyTorch, TensorFlow, or similar) * Understanding of statistics and mathematical foundations of ML * Experience with version control systems such as Git ...

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Tensorflow information

See Ontario salary details

$30

$63

$96

How much do tensorflow jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for tensorflow in Ontario is $63.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $86.78 per hour, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are popular job titles related to Tensorflow jobs in Ontario? For Tensorflow jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Ontario look for? The top searched job categories for Tensorflow jobs in Ontario are:
Infographic showing various Tensorflow job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $132,215 per year, or $63.6 per hour.

Generative AI Engineer

Apertera

Toronto, ON โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Generative AI EngineerAbout Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values:ย 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
About the Role

We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead in AI Innovation, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to to work at the intersection of LLM engineering, machine translation, cloud infrastructure, and evaluation. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment.
  • Work closely with machine learning engineers and data engineers to design, build, and test models.
  • Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
  • Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
  • Built end-to-end prototypes that are production ready.
  • Work closely with software and DevOps engineers to deploy GenAI models.ย ย ย ย 
  • Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contributing to internal knowledge sharing and continuous improvement initiatives.
Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. A Masterโ€™s degree is preferred.
  • 2+ years of industry experience developing GenAI and LLM applications is preferred.
  • Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, harness engineering.
  • Working knowledge and project-based record of at least one of the following is a plus: LLM post-training, APO, agentic workflow.
  • Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
  • Hands-on experience with Huggingface APIs or Amazon Bedrock.ย 
  • Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azureย 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

ย 

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