Machine Learning Platform Engineer
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Job Location:
Guadalajara - Mexico
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Who We Are
Arrive Logistics is a leading transportation and technology company in North America with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. Were committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun casual and collaborative environment. There has never been a more exciting time to get on board so read on to learn more and apply today!
Who We Want
As a Machine Learning Platform Engineer at Arrive Logistics you will play a key role in maintaining and expanding Arrives ML platform and product capabilities. This role requires driving and contributing to crucial roadmap projects while ensuring quality maintainability and functionality. These initiatives may vary from serving models scalably to building ML-powered products focused on maximizing profit.
What Youll Do
- Design build and maintain scalable ML systems and infrastructure using Python Postgres and Elasticsearch.
- Partner closely with other Machine Learning Engineers Product Managers Data Scientists Data Engineers and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
- Own systems throughout the software development lifecycle from design to development deployment and monitoring.
- Maintain and improve performance of existing data systems and processes while balancing maintainability observability and readability.
- Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time you must be able to explain the behavior of and contribute to code bases that may be outside your domain.
- Proactively propose solutions to gaps in process technology software design and architecture
- Provide rigorous and detailed code reviews that uphold team standards testing and software design best practices
- Foster a culture of constant improvement and growth engineering excellence humility positivity and curiosity. Take a lead role in making our two days in the office productive and engaging fostering face-to-face mentorship and collaborative whiteboarding sessions.
Qualifications
- Bachelors degree in Computer Science Engineering or a related field or equivalent professional experience.
- 3 years of experience with ML ops (features stores model registries and auto ML) model serving and optimization.
- 3 years of experience with Python and building highly scalable backend services
- Experience with frameworks like Sklearn Pandas and Numpy. Plus if Huggingface Tensorflow Pytorch experience.
- 2 years of experience with relational databases
- 2 years of experience designing maintainable and scalable systems
- System design experience with a focus on loosely coupled distributed systems microservices and event-driven architectures
- Experience developing cloud-native dockerized applications in Kubernetes
- Experience working with online experimentation and platforms like Statsig
- Understanding of both traditional machine learning and deep neural networks
- Strong communication skills with the ability to articulate diagram and document complex ML or engineering concepts.
- Strong analytical problem-solving decision-making and interpersonal skills.
- Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery
- You are a self-starter who can deliver projects independently yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player.
- You approach software engineering as a craft balancing the pursuit of clean maintainable code with the demands of a fast-moving dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation you also recognize the critical need to stabilize and harden existing products and services.
- You believe that while remote work is functional in-person collaboration is where the magic happens. You are excited to help shape the energy of our physical workspace.
- You take initiative to go beyond current responsibilities and actively seek new challenges.
- You are passionate about building high impact ML and data driven products.
The Perks of Working With Us
- Take advantage of our benefits including monthly grocery vouchers vacation days savings fund medical insurance (including dental and vision plans) and more.
- Leave the suit and tie at home; our dress code is casual.
- Enjoy office wide engagement activities team events happy hours and more!
- Work in our new Guadalajara office located in Torre 1500 (Av. Americas 1254) within the plaza youll find cafes and a wide variety of local restaurants.
- Start your morning with free coffee!
- Maximize your wellness with free counseling sessions through our Employee Assistance Program
- Get paid to work with your friends through our Referral Program!
Your Arrive Experience
Our award-winning company culture is designed with you in mind. We are committed to supporting your personal and professional growth and making Arrive a place we all love to work.
Notice:
To ensure a safe and transparent interview process we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer please contact emailprotected for verification.
Required Experience:
IC
Key Skills
About Company
Our relentless pursuit of perfection has made us one of the nation’s fastest-growing freight brokerages. Visit us now and ship or haul with us.
