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Senior Machine Learning Engineer Jobs in Winnipeg, MB

... learning and development, succession planning, and employee engagement - Leverages the Senior Ops ... IT, HR, ACES and Engineering to build and secure support and resources for projects and ...

The Energy group is seeking a HVDC Engineer with interest in Power Systems to work in eGRID. This ... Work in an exciting environment where you can apply your academic learning on a daily basis.

Tasks involve optimizing machine performance, ensuring program accuracy and efficiency, and ... On-the-job training in a continuous learning environment (we've invested 10.9 million in 2023)

University or college degree in engineering, technologist, finance, or data science with a focus on ... Learning & Training opportunities #LI-LD1 #CES Raising the Standard of Excellence since 1911 With ...

... engineering specifications. The CNC Operator is also accountable for accurate machine setup ... On-the-job training in a continuous learning environment through a variety of in-house training ...

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... Do you enjoy travel, learning about new places, and meeting new people? Are you interested in ...

... and lifelong learning, and who sets and adjusts project priorities daily. Essential ... Develop engineering specifications for equipment acquisitions, perform facility renovations ...

... engineering * Thorough understanding of network architecture, protocols, and technologies ... Short- & Long-Term Disability * Learning & Training opportunities Raising the Standard of ...

Showing results 21-40

Senior Machine Learning Engineer information

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Winnipeg, MB? The most popular types of Machine Learning Engineer jobs in Winnipeg, MB are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Winnipeg, MB? For Senior Machine Learning Engineer jobs in Winnipeg, MB, the most frequently searched job titles are:
Infographic showing various Senior Machine Learning Engineer job openings in Winnipeg, MB as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Station Manager

Amazon

Winnipeg, MB • On-site

Full-time

Posted 10 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

AMZL Sr. Station Leaders (Site Leaders) are responsible for all budgetary, people development and operations objectives for an Amazon Logistics Delivery Station (DS). Additional responsibilities include managing and leading a team of Operations, Area and Shift Managers, coaching and mentoring the team to ensure performance objectives are met, building positive employee relations and building leadership bench strength within the DS.


Key job responsibilities
- Responsible for the overall safety, quality, performance, customer experience and people development for all delivery station operations.
- Drives vision for station team and creation of quality initiatives, process change initiatives and other lean initiatives to enable their functional area and ultimately each DS to meet and exceed business plan
- Problem-solves for closing gaps between performance and goals
- Will set and clarify requirements and expectations for Senior Operations, Operations, Area and Shift Managers. Measures performance, provides feedback, and holds Senior Ops and Ops Managers accountable for their performance and the performance of their departments
- Manages an environment concerning the delivery of Amazon orders direct to our customers, subject to ever rising volume and complexity, operating on a 24/7 basis
- Manages day-to-day relationships with multiple Delivery Service Providers (DSPs)
- Presents operational metrics regularly to the senior leadership team
- Hires and develops top talent. Creates and implements a talent plan for each site including talent acquisition, performance and career management, learning and development, succession planning, and employee engagement
- Leverages the Senior Ops, Ops, Area and Shift Managers by sourcing and nurturing ideas, and rolling them into the creation of improvement plans for the functional area
- Cultivates strong culture and engagement throughout all levels of the delivery station teams
- Takes proactive steps to ensure that best practices are shared across all departments, shifts and among the network.
- Works with key business partners such as Transport & Sortation, DSP Management, Finance, Loss Prevention, IT, HR, ACES and Engineering to build and secure support and resources for projects and initiatives in their area, as well as providing needed support and resources for other staff initiatives


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US