Backend Developer, Machine Learning

Travel is not just about the destination; it's about every memory made along the way. We are dedicated to shaping the future of travel by partnering with 250+ airline, hospitality, cruise, passenger rail, and financial services companies to create new, meaningful revenue streams through incredible customer experiences. Rooted in our core values of being ambitious, innovative, and collaborative, we are driven to continuously raise the bar, exceed expectations, and bring out the best in everyone, fostering a culture where we believe we are better together, working towards an extraordinary future in travel. Come help us transform everyday travel into extraordinary experiences.

ABOUT THE ROLE As the ML Engineer for the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to solve challenging business problems. This role requires a strong foundation in software development, a passion for cutting‑edge technology, excellent problem‑solving skills, and the ability to work independently and collaboratively within a fast‑paced environment. This role reports to the Director, ML Applications.

WHAT YOU WILL BE DOING

Work in a small team passionate about enabling ML applications throughout the organization

Productionize, scale, and productize cutting‑edge machine learning solutions

Design and develop scalable and robust ML pipelines for predictive data to be consumed by downstream applications to improve the main KPIs, such as member engagement, revenue, and others

Design and develop robust processes to monitor production ML pipelines

Support production systems to deliver batch and streaming real‑time model predictions to all applications

Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architectural principles

Work closely with our Product, Engineering, and Marketing teams to build the data and ML solutions to address business‑critical questions

Deploy models and evaluate their performance; constantly test and improve

Responsible for model retraining, drift monitoring, pipeline automation, quality control, and governance of production models

Work closely with the OPS team to provide the necessary production support

YOU ARE SOMEONE WITH

4+ years work experience with ML pipelines and ML‑based Python development

Strong knowledge of general software engineering principles and practices

Expertise with RESTful APIs

Experienced building ML‑ and LLM‑based recommendation systems

Experience designing and developing back‑end components for low‑latency and highly‑scalable solutions

Working knowledge of ML Ops principles and CI/CD

Experience managing the machine learning algorithm lifecycle

Knowledge of ML‑based application design principles

Experience with containers and related infrastructures, such as Docker and Kubernetes

Familiarity with native AWS tools

Strong optimization and debugging skills

Self‑disciplined, motivated, eager to help, and most importantly, a thirst for continual learning

Effective communicator and collaborator, both within the immediate team and across other organizational units

Team spirit and a problem‑solver mindset

NICE TO HAVES

Knowledge of data science principles

Experience with prompt engineering, retrieval‑augmented generation (RAG), and vector databases

AWS Architect certification

Experience with web application development and UI/UX optimization

Experience with the design, implementation, and deployment of machine learning algorithms

Experience with relational databases and in‑memory storage

OUR TECH STACK

Languages: Python, SQL, Spark, PySpark

Tools: Snowflake, SnowPark, Splunk

AWS Services: EKS, SageMaker, Bedrock, DynamoDB, Kinesis, RedShift, Lambda and others

Containerization: Kubernetes, Docker

Version Control: GitLab

Data & Analytics: Dataiku, Tableau

WHAT YOU’LL LOVE ABOUT US

RRSP Matching

Comprehensive Health Plans

Flexible Paid Time Off

Travel Experience Perk

Annual Wellness Perk

Commuter Perk

Tenure‑based Work From Anywhere Program

Parental Leave Top Up

Adventure Pass

Learning Allowance

OUR PROCESS Plusgrade is an equal‑opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunities regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request we will provide accommodation for applicants with disabilities. We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. This job posting is for an existing vacancy.

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