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Software Engineer, Machine Learning

Ema· Engineering
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Bengaluru officeFull-timePosted 11mo ago

About the role

Machine Learning Engineer role focused on NLP, information retrieval, ranking, reasoning, dialog, and code-generation systems. Involves conceptualizing, developing, deploying ML models, handling large datasets, and communicating results to stakeholders in a fast-growing startup environment.

Responsibilities

  • Conceptualize, develop, and deploy machine learning models that underpin NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
  • Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
  • Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
  • Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.

Qualifications

  • A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of industry experience in building and deploying production-level machine learning models.
  • Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
  • Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
  • Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
  • Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
  • Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
  • Familiarity with cloud platforms like GCP or Azure.
  • Familiarity with the latest industry and academic trends in ML/AI and ability to apply to practical projects.
  • Good understanding of software development principles, data structures, and algorithms.
  • Excellent problem-solving skills, attention to detail, and strong logical thinking.
  • Ability to work collaboratively in an extremely fast-paced, startup environment.

Skills

Required:Machine LearningNLPPythonTensorFlow or PyTorchData Processing (SQL, ETL, data warehousing)
Nice to have:MLOps

Benefits

  • Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
  • Certain roles may be eligible for variable compensation, equity, and benefits.
Last updated Oct 8, 2026. Interested? Apply on the company site.
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