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EMA Career Software Engineer 2024 hiring

EMA career Software Engineer Trainee 2024 hiring: We’re seeking a Software Engineer with a keen interest in data infrastructure, language models, natural language processing (NLP), machine learning infrastructure, and related technologies such as Go, Python, PostgreSQL, GRPC. Candidates from technical background are eligible for the positions available.

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EMA hiring 2024

Ema’s the missing operating system that makes Generative AI work at an enterprise level. Using proprietary Generative Workflow Engine™, Ema automates complex workflows with a simple conversation. She is trusted, compliant and keeps your data safe. EmaFusion™ model combines the outputs from the best models (public large language models and custom private models) to amplify productivity with unrivaled accuracy. See how Ema can transform your business today.



  • Play a pivotal role in developing and maintaining sophisticated enterprise-level software applications, with a focus on back-end systems, API development, and the integration of language models and NLP technologies.
  • Contribute to building scalable, reliable back-end systems using Go and Python, with an emphasis on machine learning model integration and management.
  • Assist in the development, maintenance, and optimization of APIs designed for NLP and machine learning applications, using REST or GraphQL.
  • Participate in the creation and maintenance of data schemas suitable for machine learning applications in databases like PostgreSQL.
  • Gain experience in deploying and managing NLP models, including tuning and monitoring for performance and accuracy.


Role: Software Engineer

  • A Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
  • A foundational understanding of, or experience with, programming languages relevant to back-end development and machine learning, such as Python and Go.
  • Basic knowledge of, or keen interest in, machine learning, NLP, and language model integration within enterprise applications.
  • Familiarity with database technologies, especially those suited for machine learning applications such as PostgreSQL.

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