ATS is the industry leader in using technology to revolutionize engineering and design processes. We create tools to help engineers and architects to integrate complex systems quickly and accurately for North America’s most exciting building projects. 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!
We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team.
Responsibilities :
- Development of Advanced ML Models : Take part in the development and training of advanced machine learning models, with a focus on large language models (LLMs) and optical character recognition (OCR) across various data modalities. Utilize Python and Pandas to make significant contributions to our interdisciplinary projects.
- Optimization and MLOps Application : Assist in refining our codebase and adopting MLOps practices to enhance the machine learning lifecycle across modalities, from data preparation to deployment and monitoring. Develop and implement strategies to manage the machine learning lifecycle for seamless integration of AI and ML models within the data warehouse.
- Interdisciplinary Model Integration : Collaborate with data engineers and data scientists to ensure data quality and model accuracy. 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.Proficiency in Python, SQL, and relevant data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).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 salaryCareer advancement opportunitiesBenefits package for all eligible full-time employees (including medical, vision and dental).A culture that promotes a healthy, fulfilling work-life balanceFree parkingFoosball, Ping Pong Table & basketball netGym facilitiesEpic year-round employee events!TO APPLY : Send your resume and salary expectations to [email protected] . NO PHONE CALLS PLEASE.
To learn more about our company visit our web page : atssoftware.com
and our promotional video : https : / / www.youtube.com / watch?v=MPyk3BdN-8o
ATS Software 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.