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/401(k) Matching
?? Comprehensive Health Plans
?? Unlimited Vacation/PTO
?? Travel Experience Credit
?? Annual Wellness Credit
?? Team Events and Monthly Lunches
?? Home Office/Commuter Credit
?? Work From Anywhere Program
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. All applications will be reviewed from 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 (if applicable)
• Team Interview
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