ML Application Engineer

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 200+ 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.- 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.- Productionize, scale, and productize cutting-edge machine learning solutions.- 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:- Proven work experience with ML pipelines and ML-based Python application development.- Strong knowledge of general software engineering principles and practices.- Experience designing and developing back-end components to improve responsiveness and overall performance.- Working knowledge of ML Ops principles and CI/CD.- Experience managing the machine learning algorithm lifecycle.- Expertise with RESTful APIs.- Knowledge of data science principles.- 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 ML-based application design principles.- Experience with containers and related infrastructures, such as Docker and Kubernetes.- Experience with native AWS tools.- 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, DynamoDB, SQS, Kinesis, Elasticache, and others- Containerization: Kubernetes, Docker- Version Control: GitLab- Data & Analytics: Dataiku, Tableau
WHAT YOU’LL LOVE ABOUT US:🏦 RRSP/401(k) Matching/Pension Matching🏥 Comprehensive Health Plans📅 Flexible Paid Time Off✈️ Travel Experience Credit🧘 Annual Wellness Credit🥗 Team Events and Monthly Lunches💻 Home Office/Commuter Credit🌅 Work From Anywhere Program🍼 Parental Leave Top Up🌍 Adventure Pass
OUR PROCESS:Plusgrade is an equal opportunity employer 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, which is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. All applications will be reviewed by our Talent Team, and the successful candidate(s) will go through the following recruitment process:
- Recruiter Phone Interview- Hiring Manager Interview- Take-home Assessment or Remote Coding Exercise (only if applicable)- Team Interview
All candidates will be provided with feedback, whether they pass or don't pass any of our interview stages. All your information will be kept confidential.