At a Glance
- Tasks: Design and build impactful AI systems with a focus on machine learning workflows.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with strong potential for career advancement.
- Why this job: Make a real impact in the AI field while working with cutting-edge technologies.
- Qualifications: Degree in Computer Science and proficiency in Python and ML frameworks required.
The predicted salary is between 90000 - 110000 $ per year.
Elevate your career as a Machine Learning Engineer, focusing on the development of impactful AI systems.
This full-time position offers flexibility with remote or on-site work options.
In this role, you will work within a team to build, deploy, and optimize machine learning systems tailored for client requirements.
Collaborating closely with data scientists, your responsibilities will include designing models, enhancing scalability, and ensuring smooth deployment.
A solid grasp of machine learning and data engineering principles is essential.
Key
Responsibilities
- Design and build efficient machine learning workflows
- Train and evaluate machine learning models effectively
- Optimize models for production-ready performance
- Process large datasets for training and evaluation
- Implement and monitor deployed machine learning solutions
Requirements
- Master's or Bachelor's degree in Computer Science or a related area
- Proficient in Python and ML frameworks such as Py Torch
- Experience in data preprocessing and model evaluation
- Knowledge of cloud deployment and containerization
- Strong problem-solving and analytical skills
Apply your machine learning expertise to drive innovation in a collaborative environment. #J-18808-Ljbffr
Machine Learning Engineer in Toronto employer: Sequoia Technologies
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Machine Learning Engineer will directly impact the development of cutting-edge AI systems. With flexible remote or on-site work options, you will have the opportunity to grow your skills alongside a talented team, while enjoying a supportive environment that prioritizes employee development and well-being.
