Principal Machine Learning Engineer

Ema Unlimited
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10-12 yearsEducation: mastersSkills: ["Leadership","Communication","Mentoring","Collaboration"]

Lead and shape enterprise-grade AI/ML initiatives by architecting scalable ML systems, driving strategy, and mentoring senior engineers across research, product, and infra. Own the GenAI infrastructure roadmap, integrate cutting-edge ML methods, and ensure robust, cost-efficient deployment of large-scale models in a hybrid, office-three-days-a-week environment.

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FursaFursa
Ema Unlimited
Ema Unlimited
11 months ago

Principal Machine Learning Engineer

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

Job Summary

Lead and shape enterprise-grade AI/ML initiatives by architecting scalable ML systems, driving strategy, and mentoring senior engineers across research, product, and infra. Own the GenAI infrastructure roadmap, integrate cutting-edge ML methods, and ensure robust, cost-efficient deployment of large-scale models in a hybrid, office-three-days-a-week environment.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products.
  • •Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning.
  • •Define and own the multi-year ML roadmap for GenAI infrastructure — including agent frameworks, RAG systems, world-class evaluation loops, and integration with MCP, browser, and vision pipelines.
  • •Identify and integrate cutting-edge ML methods / research (deep learning, large models, recommender systems, LLMs, etc.) into Ema’s products or infrastructure.
  • •Research, prototype, and integrate cutting-edge ML and LLM advancements (reasoning, memory architectures, multi-modal perception, long-context models, autonomous agents) into the platform.

Key Requirements

  • •10-12+ years of applied experience with ML techniques in large-scale settings
  • •Experience building production ML systems that operate at scale (latency, throughput, cost)
  • •Experience in Knowledge retrieval and Search space
  • •Exposure in building Agentic Systems and Frameworks
  • •Proficiency in programming languages (Python, C++, Java) and ML frameworks (TensorFlow, PyTorch)
Experience:10-12 yearsAIEnterprise softwareSaaS
Education:Master's
Skills:LeadershipCommunicationMentoringCollaboration
Languages:English
Tech Stack:PythonC++JavaTensorFlowPyTorch

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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