Intermediate Machine Learning Developer

Weir; Vancouver; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

An innovative mining technology company is seeking an Intermediate Machine Learning Developer to solve computer vision problems. You will design and implement machine learning algorithms, work with large datasets, and collaborate with cross-functional teams. Ideal candidates have a Master's Degree and 3+ years of relevant experience, particularly in Python and machine learning frameworks. This position in Vancouver offers a hybrid work model with competitive compensation.

Qualifications

• 3+ years of hands-on experience in developing and implementing machine learning models.
• In-depth knowledge of statistical learning algorithms and computer vision.
• Familiarity with image processing algorithms and Reinforcement Learning.

Responsibilities

• Design and optimize machine learning algorithms for various environments.
• Preprocess large datasets for model training.
• Collaborate with cross-functional teams to meet business goals.

Skills

Proficiency in Python development

Strong analytical skills

Communication skills

Experience with TensorFlow

Experience with PyTorch

Experience with OpenCV

Education

Master’s Degree or higher in Computer Science

Tools

TensorFlow

PyTorch

OpenCV

Job description

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 g row 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.

Key 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

Weir Motion Metrics (WMM) is a Canadian mining technology division that enables a new generation of safe, smart, and sustainable mining based in Vancouver, B.C. Serving the mining market since 1999, then joining Weir in 2021, Motion Metrics is proud to be Weir’s first-ever center of excellence for artificial intelligence and machine vision technology.

Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives.

For additional information about what it is like to work at Weir, please visit our and .

Compensation :

Weir Motion Metrics is committed to fair and equitable compensation practices.

Actualcompensationpackages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in cost of living. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only.

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