Machine Learning Engineer

Home/Machine Learning Engineer

ATS is a pioneering company leading the charge in creating AI-focused software solutions tailored for the construction industry. By leveraging advanced artificial intelligence technologies, we aim to revolutionize how construction projects are planned, executed, and managed, setting new industry standards for efficiency and innovation.

ATS has a strong work ethic committed to delighting clients and providing them with exceptional service. Our thriving and motivated culture is the heartbeat of our organization. We hope you will become a part of it!

Reporting to the Senior Machine Learning & AI Engineer, you will:


  • Development of Advanced ML Models: Take part in the development and training of advanced machine learning models, emphasizing cutting-edge algorithms such as RCNN, LSTM, and Transformers across different data modalities. Utilize Python, TensorFlow, and PyTorch to make significant contributions to our interdisciplinary projects.
  • Optimization and MLOps Application: Assist in refining our codebase and adopting MLOps practices to improve the machine learning lifecycle across modalities, from data preparation to deployment and monitoring. Gain expertise in MLOps platforms including SageMaker, Databricks, and Weights & Biases.
  • Interdisciplinary Model Integration: Collaborate with cross-functional teams to integrate interdisciplinary machine learning models that span various modalities, including text and vision, into our application ecosystem. Focus on enhancing performance and scalability under the guidance of senior leadership.

Required Qualifications:

  • Deep Learning Expertise Across Modalities: Strong knowledge and experience with deep learning algorithms such as RCNN, LSTM, and Transformers, particularly applied to various modalities like text and vision.
  • Experience with Interdisciplinary CV and NLP Models: Demonstrated experience working with machine learning models in computer vision and NLP, showcasing the ability to tackle complex, interdisciplinary problems through innovative ML solutions.
  • MLOps Platforms Proficiency: Familiarity with MLOps platforms such as AWS SageMaker, Databricks, and Weights & Biases, with a competency in leveraging these tools to streamline the ML lifecycle across various data modalities.
  •  Coding Proficiency and Best Practices: Experience in writing clean, efficient code following Object-Oriented Programming (OOP) principles and coding best practices, with a proven ability to navigate and contribute to complex codebases.

Preferred Qualifications:

  • Document Processing Expertise: Experience with technologies related to PDFs, Document AI models, and OCR is highly valued, particularly in the context of processing and analyzing information across different modalities.
  • In this role, you’ll be a key player in driving the development and optimization of our interdisciplinary machine learning projects, spanning various modalities such as text and vision.

Your Life and Career at ATS:

ATS is dynamic, industrious, innovative, and collaborative. We believe diverse and inclusive organizations create work environments that are inventive and open-minded, where people spark new ideas and explore alternatives. At ATS, we offer the following to make sure you have a rewarding and enjoyable experience:

  • Competitive salary
  • Career advancement opportunities
  • Benefits package for all eligible full-time employees (including medical, vision and dental).
  • A culture that promotes a healthy, fulfilling work-life balance
  • Free parking
  • Foosball, Ping Pong Table & basketball net
  • Gym facilities
  • Epic year-round employee events!
  • Compensation $80-100k

 TO APPLY: Send your resume and salary expectations to HR@atsspec.comNO PHONE CALLS PLEASE.

To learn more about our company visit our web page: and our promotional video:


Allied Technical Solutions Inc. values diversity and is proud to be an Equal Opportunity Employer. We are committed to the principles and practices of employment equity and encourage all qualified individuals, including women, persons with disabilities, visible minorities, and Aboriginal Peoples to apply. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.

Go to Top