Lead Machine Learning Engineer at Datatonic, shaping AI and Data solutions for global businesses. Oversee ML project delivery and mentor engineering talent remotely from Canada.
A(
Machine Learning Resident – Client: Enriched Ag
Posted last month
About the role
- Machine Learning Resident at Enriched Ag focusing on vision AI for agriculture technology. Engaging in hands-on research and development with mentoring in a fast-paced environment.
Responsibilities
- This is a paid residency that will be undertaken over a 12-month period with the potential to be hired by our client, Enriched Ag, afterwards (note: at the discretion of the client)
- The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities
- Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development
- A core objective of this residency is to further develop and operate this model stack within a Canadian-controlled machine learning infrastructure, ensuring that data, pipelines, ground-truth generation and validation, model training, evaluation, and deployment are managed and scaled in Canada
- Engage in regular client meetings, contributing to presentations and reports on project progress
Requirements
- Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in vision AI and vision-language multimodal modeling
- Proficient in developing and training, fine-tuning and evaluating machine learning and deep neural network models in PyTorch and/or TensorFlow
- Solid experience with modern ViT and CNN models for real world visual recognition tasks (e.g. object detection, instance segmentation) and other related vision tasks (e.g. image retrieval, image captioning)
- Hands-on experience with foundational vision language models (e.g. CLIP, LLaVA)
- Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, TensorFlow, PyTorch, OpenCV, Pandas, HuggingFace)
- Familiarity with Linux, Git version control, and writing clean code
- Comfortable with quick prototyping in a business environment
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada
Benefits
- Work under the mentorship of an Amii Scientist for the duration of the project
- Participate in professional development activities
- Gain access to the Amii community and events
- Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
- Build your professional network
- The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Lead Machine Learning Engineer developing training systems to optimize multimodal robotic data processing. Collaborating with teams to enhance autonomy models and improve training efficiencies.
Staff Machine Learning Engineer working on AI capabilities for clinicians and patients at Fullscript. Contributing to scalable, reliable, and clinically useful AI experiences.
Senior AI/ML Engineer designing and deploying ML solutions for real - time video analytics. Collaborating across engineering, research, and software engineering to create scalable, reliable features.
Machine Learning Engineer leading churn prediction model development for Architech. Collaborating with teams to optimize customer retention strategies and utilizing advanced AI and data analysis.
Senior Machine Learning Engineer enhancing real - time AI safety solutions at Gray Swan AI. Lead development of scalable machine learning models and ensure robustness against adversarial threats.
Senior AI/ML Engineer designing and delivering AI - enabled solutions for clients. Collaborating on impactful industrial projects, including anomaly detection systems and AI - driven applications.
Software Developer Specialist focusing on ML Infrastructure and Deployment at Verafin. Engaging with analytics teams to develop fraud detection products with DevOps and MLOps principles.
Research Machine Learning Scientist working with real - world datasets at a leading global financial institution. Collaborating with engineering teams to advance machine learning techniques for banking products.
Staff ML Engineer at Samsara designing and evolving end - to - end ML platform. Leading initiatives for Safety AI and driving impactful ML solutions.