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Senior Machine Learning Engineer (Travel)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (Travel): Develop and deploy large-scale batch and real-time ML solutions in the Distribution and Supply domain for travel products. Focus on designing scalable ML models, leading cross-functional teams, and solving complex technical challenges in pricing, inventory, content, and trust & safety.

Location: Onsite in Gurgaon, Haryana, India

Company

hirify.global powers global travel with innovative technology and a diverse, inclusive culture focused on employee growth and travel experiences.

What you will do

  • Design and develop large-scale batch and real-time ML solutions in collaboration with software and ML engineers.
  • Lead and implement innovative ML applications across pricing, inventory, content, and trust & safety.
  • Manage end-to-end lifecycle of mid- to large-scale ML projects from design to deployment.
  • Establish best practices and industry standards for ML integration and deployment.
  • Mentor junior engineers and promote ML best practices.
  • Drive cross-organizational initiatives and solve complex technical challenges to enhance scalability and performance.

Requirements

  • Location: Must be based in Gurgaon, Haryana, India
  • English: B2 level or higher required
  • 8+ years experience with a Bachelor’s degree or 6+ years with a Master’s in Software Engineering, Computer Science, or related field.
  • Proficiency in Python and Scala or Java.
  • Expertise in Big Data technologies such as Spark, Hadoop, and Hive.
  • Proven experience productionizing ML models including feature engineering, scalability, validation, and deployment.

Nice to have

  • Experience with cloud platforms like AWS, EMR, Kubernetes, and Docker.
  • Experience building real-time applications, preferably with Spark.
  • Familiarity with ML platforms such as Databricks or SageMaker and ML libraries like PyTorch or TensorFlow.
  • Hands-on experience with workflow orchestration tools like Airflow or Flyte.
  • Experience in e-commerce or travel industry.

Culture & Benefits

  • Inclusive and diverse work environment.
  • Full benefits package including travel perks, generous time-off, and parental leave.
  • Flexible work model with onsite presence in modern offices.
  • Career development resources and support.
  • Recognized as a Best Place to Work and awarded for culture and inclusion.

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