Ingénieur En Machine Learning/machine Learning jobs at Amazon in Canada, Toronto

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support.This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility.
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree or above in computer science, computer engineering, or related field, or Associate's degree and 2+ years of professional or military experience
- 2+ years of computer hardware experience, including troubleshooting and repairing experience
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- CCNA or equivalent level networking certification
- Experience with network hardware: copper and optical fiber cabling, switches, routers
- Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment)
- Experience in Linux/RHEL, or experience in any Bigdata architecture and experience in networking administration and troubleshooting

Key job responsibilities
• Ensure products continuously comply with Amazon's quality, performance, reliability, as well as industry safety and regulatory requirements worldwide
• Drive manufacturing excellence through data-driven approaches to identify quality trends, predict potential issues, and implement preventive measures across supplier networks
• Manage and coach strategic suppliers to improve quality management systems, manufacturing processes and customer satisfaction; utilize AI-powered analytics to provide data-driven recommendations for improvement
• Design and operate scalable quality management programs, develop best-in-class processes and systems, and drive continual improvement across different business models
• Communicate technical, quality, and process requirements effectively to non-technical stakeholders through data visualization and analytical insights

• Bachelor’s degree required with a scientific or engineering focus
• 4+ years of working experience in quality management, manufacturing, or related fields in consumer products or fashion industry
• Knowledge of quality management systems and standards (e.g. ISO 9001), with demonstrated understanding of manufacturing operations across diverse industries
• Fluent in Chinese and English; excellent written and verbal communication skills
• Think creatively and possess strong analytical and problem-solving skills
• Able to travel (national and international) often

• Experience with process improvement methodologies (e.g., Lean Six Sigma) and data-driven problem solving
• Basic proficiency or strong interest in analytical tools (SQL, Python, or AI tools) to drive business insights and operational efficiency
• Experience in communicating data-driven insights with cross-functional teams and leadership

Key job responsibilities
As a System Development Engineer in the Bus S&Flight Operations team, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for the full cycle of provisioning of Satellites and ancillary, as well as overall system integration:
- Develop tools for pre- and post- vehicle validation and testing
- Support software bring-up, debug of new hardware.
Export Control Requirement:
A day in the life

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 7+ years of non-internship professional software development experience
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with Java and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience in Kernel development
- Experience with low level language - C, C++, RUST

Key job responsibilities
- Daily building rounds to monitor and record information from electrical, mechanical, and fire/life safety equipment to ensure 24/7 reliability and availability
- Monitor Building Management Systems (BMS) and Electrical Power Management System (EPMS)
- Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA)
- Perform rack installs and rack decommissioning within internal SLA
- Perform PM, troubleshooting, root cause analysis, and repair of electrical and mechanical equipment
- Technical writing to support change management program
- Monitor daily work requests and manage to resolution, and execute projects from conception to completion
- On-site support of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislationPhysical Requirements:- Regularly lift and/or move up to 39 pounds independently
- Participate in group lifts for 40+ pounds
- Maintain balance and perform construction tasks while on a ladder
- Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
- Work in an environment requiring provided ear protection
A day in the lifeYou’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- High school or equivalent diploma
- Technical (Military/Trade School) training or 1+ years of electrical or mechanical, HVAC, fire system experience in a mission-critical infrastructure or equivalent experience in a relevant industry (for example: electrical or mechanical) 1+ years of electrical or mechanical experience
- 1+ years’ experience with Microsoft Office products (including Excel, Word and PowerPoint)

- 2+ years of data center engineering experience

Possessing a deep understanding of AWS products and services, as a Sr. Delivery Consultant - Data Analytics you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.Key job responsibilities
As an experienced technology professional, you will be responsible for:- Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
About the team
Diverse Experiences:
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance:

- 5+ years of experience in cloud architecture and implementation
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 5+ Experience delivering cloud projects or cloud based solutions
- Able to communicate effectively in English, within technical and business settings.
- Bachelor's degree in Business, Computer Science, or related field.

- 5+ years of external or internal customer facing, complex and large scale project management experience
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

As an SDE on the team, you will own building and re-architect tier-1 services which are responsible for end-to-end orchestration and execution of multi-modal conversational agent requests. From getting the best prompt and context for the request, to picking the correct model to inference, to interpreting LLM's output, creating an actionable plan and executing it.
Key job responsibilities- Responsible for the development and maintenance of key platforms needed for connecting LLMs to actual user requests and real world APIs which act on them required for building conversational agents.- Work closely with Applied scientists to handle myriad of conversational use cases along with optimizing latency, cost and capacity.
- Work in an Agile/Scrum environment to deliver high quality software in a fast-paced environment.A day in the life
As a SDE on the CAMEL team, you will be responsible for leading the development of high performance, low latency and low cost solutions for building the best in class conversational agent which solves real world problems for millions of customer. You will have significant influence on our overall strategy by helping define the architecture of tomorrow, where multiple LLMs with different modalities come together to solve real world customer problems. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will partner closely with experienced engineers and scientists to drive the system architecture, and spearhead the best practices that enable a quality infrastructure.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloadsAs a senior deep learning compiler engineer on the Neuron team, you will be a thought leader supporting the development of a compiler targeting AWS Inferentia and Trainum. You will be developing and scaling the compiler to handle the world's largest ML workloads. You will need to be technically capable, credible and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in machine learning and AI accelerators is preferred, but not required.
Key job responsibilities
Solve challenging technical problems, often ones not solved before, at every layer of the stack.Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.Build high-quality, highly available, always-on products.A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.#5. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent