Intermediate Machine Learning Developer
ExternalPrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
Responsibilities
- Design, implement and optimize proprietary machine learning algorithms based on runtime system requirements and constraints.
- Collect, sanity-check and preprocess large image datasets to ensure data quality and suitability for model training.
- Breakdown, implement, and supervise machine learning development lifecycle for assigned projects.
- Conduct code reviews and work closely with the software/hardware/cloud teams to deliver production grade code/algorithm.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver solutions that meet business goals.
- Take ownership of AI project development including improvement roadmap and monitoring strategy
- Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture.
- Job Knowledge/Education and Qualifications:
- Master's Degree or higher in Computer Science or a related technology/engineering field.
- 3+ years of hands-on experience in developing and implementing and evaluating machine learning models and algorithms.
- In-depth knowledge of machine learning data structures and modeling, software architecture, libraries, and frameworks to create ML models that accomplish outlined goals.
- Solid understanding of statistical learning algorithms, including (self, semi) supervised, unsupervised and transfer learning and computer vision algorithms.
- Proficiency in Python development and version control.
- Basic familiarity with object- and service-oriented design, containerization, and complexity analysis.
- Solid Experience with TensorFlow, PyTorch and OpenCV.
- Familiarity with image processing algorithms and Reinforcement Learning (RL).
- Strong analytical, communication and presentation skills.
- Must be legally eligible to work in Canada without sponsorship
- For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page .
- Compensation: $84,300 - 120,000 CAD
- Weir Motion Metrics is committed to fair and equitable compensation practices.
Benefits
Additional Information
Intermediate Machine Learning Developer Weir Motion Metrics Vancouver, BC Canada(Hybrid) Purpose of Role: We are looking for a Machine Learning Developer who is passionate about solving challenging computer vision and machine learning problems in collaboration with other data scientists and developers. AI team members will be involved in various stages of algorithm development from research to production, which includes AI model development for embedded, edge and cloud environments. Why choose Weir: Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It's a big challenge - but it is exciting. An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives. Feel empowered to be yourself and belong : Weir is a welcoming, inclusive place, where each individual's contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at weir? Share your experience