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.