ML Application Engineer

Partners with 200+ travel and financial services companies to create new revenue streams through customer experiences.
$100,000 - $160,000
Machine Learning
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Travel · AI

Description For ML Application Engineer

Plusgrade is transforming the travel industry by partnering with over 200 companies in airline, hospitality, cruise, rail, and financial services sectors. As an ML Application Engineer, you'll join their ML Applications team, reporting to the Director. You'll be crucial in designing and implementing ML solutions that drive business KPIs like member engagement and revenue. The role combines software development expertise with machine learning, requiring both technical prowess and collaborative skills.

The position offers a comprehensive tech stack including Python, SQL, AWS services, and modern tools like Kubernetes and Docker. You'll work on challenging problems in a fast-paced environment, building scalable ML pipelines and ensuring robust production systems. The company values innovation and collaboration, offering attractive benefits including health plans, flexible PTO, and unique perks like Travel Experience Credit and Work From Anywhere program.

This is an excellent opportunity for someone passionate about machine learning and travel technology, wanting to make a real impact on how people experience travel. The role provides a perfect blend of technical challenges and business impact, with the chance to work with cutting-edge ML technologies while solving real-world problems in the travel industry.

The company culture emphasizes continuous learning, collaboration, and work-life balance, making it an ideal place for professional growth. Their commitment to diversity and inclusive hiring practices, combined with a structured interview process, demonstrates their investment in finding the right talent and ensuring a positive candidate experience.

Last updated a month ago

Responsibilities For ML Application Engineer

  • Design and develop scalable ML pipelines for predictive data
  • Productionize and scale machine learning solutions
  • Design and develop monitoring processes for production ML pipelines
  • Support production systems for batch and streaming real-time model predictions
  • Participate in solution design and modeling
  • Work with Product, Engineering, and Marketing teams
  • Deploy and evaluate model performance
  • Handle model retraining, drift monitoring, pipeline automation
  • Provide production support with OPS team

Requirements For ML Application Engineer

Python
Kubernetes
  • Proven experience with ML pipelines and ML-based Python application development
  • Strong knowledge of software engineering principles
  • Experience designing back-end components
  • Working knowledge of ML Ops principles and CI/CD
  • Experience managing machine learning algorithm lifecycle
  • Expertise with RESTful APIs
  • Knowledge of data science principles
  • Strong optimization and debugging skills
  • Effective communication and collaboration skills

Benefits For ML Application Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Commuter Benefits
  • 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

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