Software Engineer, Machine Learning

Ema Unlimited
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Problem-solving","Collaboration","Communication","Attention to detail"]

Join a fast-growing AI startup as a Software Engineer focusing on ML for NLP, information retrieval, and code-generation. You'll develop and deploy production ML models, work with large datasets, and collaborate across teams to push cutting-edge AI capabilities in a hybrid office setting in Bengaluru.

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FursaFursa
Ema Unlimited
Ema Unlimited
11 months ago

Software Engineer, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Join a fast-growing AI startup as a Software Engineer focusing on ML for NLP, information retrieval, and code-generation. You'll develop and deploy production ML models, work with large datasets, and collaborate across teams to push cutting-edge AI capabilities in a hybrid office setting in Bengaluru.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Conceptualize, develop, and deploy machine learning models that underpin our 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.

Key Requirements

  • •Proven industry experience in building and deploying production-level machine learning models, with deep understanding and practical experience in NLP techniques and frameworks including training and inference of large language models.
  • •Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
  • •Excellent data processing skills (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 and ability to apply ML knowledge in practical projects within a startup environment.
Experience:Enterprise AINLPInformation RetrievalMachine learning
Skills:Problem-solvingCollaborationCommunicationAttention to detail
Tech Stack:PythonTensorFlowPyTorchSQLETLData warehousingMLOpsGCPAzure

Company Brief

Ema Unlimited
Builds an enterprise agentic AI platform (Ema) that creates AI employees to automate complex workflows across customer support, HR, finance and other functions, with a focus on security, compliance, and model fusion for high accuracy.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 1.5
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