Highly Skilled Data Platform Engineer Wanted

1 week ago

Pune Bengaluru Bangalore Gurgaon Gurugram, India beBeeDataPlatformEngineer Full time US$ 1,20,000 - US$ 2,00,000

We are seeking an experienced Data Platform Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and productionizing machine learning models at scale.

The successful candidate will possess expertise in designing, configuring, and using ML engineering platforms such as Sagemaker, MLFlow, or Kubeflow. Additionally, they will have experience with big data technologies like Hive, Spark, Hadoop, and queuing systems like Apache Kafka or Rabbit MQ.

The role involves collaborating with data scientists to create state-of-the-art AI models, creating and using cutting-edge ML platforms, and managing the complete ML lifecycle.

Key Responsibilities:

  • Design and implement technical features leveraging best practices for technology stack being used
  • Collaborate with client-facing teams to understand solution context and contribute to technical requirement gathering and analysis
  • Work with technical architects on the team to validate design and implementation approach
  • Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors

Requirements:

  • At least 5+ years of relevant hands-on experience in deploying and productionizing ML models at scale
  • Expertise in designing, configuring, and using ML engineering platforms like Sagemaker, MLFlow, or Kubeflow
  • Experience with big data technologies like Hive, Spark, Hadoop, and queuing systems like Apache Kafka or Rabbit MQ

Benefits:

  • A comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development
  • A flexible and connected work environment allowing employees to thrive as individuals and global team members

Travel Requirements:

  • Ability to travel to other global offices as needed to work with clients or other internal project teams

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