Machine Learning Engineer

Traffix is a Third-Party Logistics leader with more than 40 years' experience. We got to where we are by combining our logistics expertise with our ability to attract and retain top talent. From logistics coordinators to warehouse associates and drivers, our team is second to none. If you are driven, ambitious and looking for a high-performance environment where hard work pays off, we want to hear from you!

Introduction
As a Machine Learning Engineer I at TRAFFIX, you will work with your colleagues to support the productization of data models. This involves taking models created by our data science team and assisting in producing viable Azure services that can orchestrate and achieve complex calculations utilizing these models, as well as your own solutions in tandem. Our team is still young and lean;

this means that your solutions will likely involve end-to-end work, thus involving database work, function app buildout, and light infrastructuring + solutioning.

Responsibilities

Work with senior team members to ingest product development requirements from cross-functional teams (engineering, product, business)

Elicit needs, and translate to workable development tasks

Hypothesize approaches and solutions to potential product needs

Conduct runtime analysis and solution proofing to plan + design solutions

Work with colleagues to create, deploy, and manage software services using Azure-based technologies

Create detailed technical solution designs + documentation for technical projects

Develop function-based solutions using backend + solution languages such as Python and C#

Develop software that integrates and ties together data products from our data team

Contribute to data model products and heuristic approaches

Ensure use of best practices, reuse of core components and common design paradigms for developments

Oversee and/or implement UAT testing of solutions.

Coordinate with colleagues on releases and implementation of products

Requirements

Bachelor’s Degree in Computer Science, Mathematics, Statistics or equivalent combination of education and experience.

Strong foundation in mathematics, statistic, and software design

Knowledge in Data models, data model components and integrating with them

High proficiency in API development, Deployment-ready functional development, enterprise level software solutioning

High proficiency in solutioning, critical thought process

Familiarity performance and solution proofing (Runtime analysis)

Experience working with enterprise platforms (Azure, AWS, GCP) Azure strongly preferred

Very Strong knowledge in Python

High proficiency in SQL

Knowledge in C# highly desired

Excellent written and verbal communication skills.

Excellent Critical Thinking skills to tackle complex data issues

Knowledge in version control (git, CI/CD)

Preferences

Logistics industry experience is preferred but not required.

Experience in Puppeteer or similar web crawling tools is preferred but not required.

Experience in working with large datasets (structured & unstructured)

TRAFFIX gives equal consideration for a job and terms and conditions of employment to all individuals and that the employer does not discriminate based on race, color, religion, age, marital status, national origin, disability or sex including sexual orientation, and gender identity or expression.

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