Company culture is at our core
Routeique is not a software company. Our business involves unraveling complexity, ironing out wrinkles, and finding better ways—which means our commitment is always considerably deeper than pixels on a screen, and far wider than just the supply chain.
We are a close-knit team of innovators with nerd-like enthusiasm, and veteran-like experience. We are supply chain experts armed with the mother of all digital platforms. And we are hell bent on ensuring every link, in every chain, is flawlessly efficient and seamless.
Indeed it’s our velvet integration of high touch and high tech—and our insistence on being partners, not vendors—that allow us to bring so much value to the table.
We strive to work passionately, improve daily, speak truthfully, invest wisely, watch carefully, iterate/innovate relentlessly and grow frequently. These are our values, they keep us accountable and drive us to our success. Success is not only growing the business but growing people.
What’s cool about Routeique?
At Routeique we know a supply chain can never be completely owned. The variables of logistics, warehousing, shipping and fulfillment are infinite, and not easily wrangled or second guessed—especially in a world wracked with the uncertainty of alarmingly frequent environmental, political and medical crises. That’s why, every day, we provide our clients with the next best things: insight, foresight, and oversight.
We give clients penetrating x-ray vision that tracks and traces every step of their networks, virtually, in real time—empowering them to stay ahead of problems, leapfrog legacy logjams, and capitalize on previously unseen opportunities… with crystal-clear transparency.
What you’ll be doing:
The Machine Learning Engineer uses their applied industry experience in deployment and operationalization of ML solutions in production environments to direct the research and development efforts of Routeique and our Supply Chain Clients. They bridge the gap between business opportunities and applied ML methods to provide direction and oversight on technical projects. They advise clients along the entire machine learning journey from scoping to model deployment and productization. This includes making informed decisions about what the data requirements are, what modeling techniques should be tested, how solutions should be deployed and monitored, and how success will be evaluated. As part of the development team, you will work to comprehend these complex customer needs and represent the customer through the development process including the below:
Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical assessments and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Who we’re looking for:
Extensive experience with ML frameworks, platforms and tools, and expert knowledge with at least one tool stack
Experience and comfort with DevOps and tools such as cloud platforms, containerization, CI/CD, etc
Adept in at least one programming language eg: Python, Java, C++ or R
Familiarity with at least two of: Tensorflow, Keras, PyTorch and Sklearn
You’re able to communicate on technical topics with a non-technical audience
General comprehension of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
Up-to-date knowledge and strong engineering and analytical skills
You might also have:
Successful completion of post secondary education in Computer Science or related field with equivalent experience in Data Science
2 or more years of experience developing machine learning models in an applied setting
2 or more years of experience deploying machine learning models with production-quality code in industry
Technical product knowledge or previous experience with operational technologies in Supply Chain, Warehousing, Fulfillment, Logistics solutions
Being part of the Routeique team:
Routeique is a more than a fun place to work and we have always honoured a self-driven hybrid work environment allowing our team members to choose where and when they work. Oh, and did we forget to mention, Routeique is the place to make life changing income? With our US/European inspired ESOP (Employment Share Options Program) everyone has the choice to share in the companies success. That’s right… You are in the drivers seat along with everyone else, the decisions you make and effort you apply will allow you to directly benefit.
What you’ll also get:
Market/experience based salary
Comprehensive health, vision and dental benefits including a Health Spending Account and Employee Assistance Programs
Group RRSP matching program & group life insurance
TELUS Health Virtual Care: Online Doctors, virtual help and prescriptions in Canada
Paid vacation days + paid cultural holidays
Educational advancement
Events with fun prizes
Lunch and learns
Am I the right candidate for Routeique?
Sharing your knowledge with your team is fun for you, and you are happy to help other members of the team decode problems
You’re comfortable in an early-stage company and are excited at the idea of joining a team of smart, client-oriented folks
You’re a self-starter and can prioritize your time to achieve goals without a lot of day to day oversight
You’re interested in not just a job but building a company, culture, processes, and growing with us
You have a track record of committing to what you say you will do, and are passionate about delivering great products for teams and clients
You communicate clearly, write well, speak eloquently, and are comfortable explaining complicated issues over the phone and via email to both engineers and clients
You get along with people and like helping people, learning new things, and are quick to solve to problems proactively
You have experience with and enjoy working teams that are partially or fully remote
You are comfortable talking with internal team members and/or clients on product calls
Sometimes, confidence can deter us from applying for a job but you know what? A ‘perfect’ candidate doesn’t exist. Routeique is a place for everyone to grow. Whatever background you have and however you identify, please apply for this role if it’ll avoid the Case of the Mondays. We want you to be excited to show up to work everyday and we’re convinced you will, at Routeique.
https://routeique.bamboohr.com/jobs/view.php?id=62
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