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Expedia Group
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37 Expedia Group Jobs
Machine Learning Operation Engineer II (ML_OPS)
3-4 years
Gurgaon / Gurugram
1 vacancy
Machine Learning Operation Engineer II (ML_OPS)
Expedia Group
posted 21hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Degree in software engineering, computer science, informatics or a similar field.
- Comfortable programming in Scala, Python or Java and have hands-on experience in OOAD, design patterns, SQL and NoSQL.
- Should have experience on MLOPS, ML Lifecycle, and Deployment of ML Models.
- You will be involved in ML-OPS and this role will not involve in creating ML Models.
- Knowledgeable in Hadoop-ecosystem technologies, in particular Hadoop, Hive, and Spark.
- Passionate about learning, especially in the areas of microservices, design patterns, system architecture, Data Science and Machine Learning.
- Experience of using cloud services (eg AWS)
- Experience working with Agile/Scrum methodologies.
- High-level understanding Machine learning pipelines
- Experience with machine learning frameworks such as TensorFlow
- Experience in crafting real-time streaming applications, preferably in Spark, and Kafka/KStreams.
- Familiar with workflow management tools (eg Airflow
- 3+ Years of experience working in Machine learning Operation role.
- Work in a cross-functional team of Machine Learning engineers and Data scientists to design and code large scale batch and real-time data pipelines on the AWS.
- Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team
- Communicate and work effectively with geographically distributed cross functional teams
- Participate in code reviews to assess overall code quality and flexibility
- Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure
- Define, develop and maintain artifacts like technical design or partner documentation
Drive for continuous improvement in software and development process within an agile development team - Participate in user story creation in collaboration with the team
- Support and troubleshoot data and/or system issues as needed
Employment Type: Full Time, Permanent
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