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ML Research Engineer - Post-training (LLMs)

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Onsite

ML Research Engineer - Post-training (LLMs)

eka.care

ML Research Engineer - Post-training (LLMs)

Skills

PythonJavaPyTorchTensorFlowMachine Learning

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


We are looking for a highly skilled ML Research Engineer to join our team at Eka.care, contributing to the development of innovative machine learning solutions. The ideal candidate will have a strong background in machine learning and software engineering, with excellent problem-solving skills.

Roles and Responsibility

  • Design, develop, and deploy machine learning models using various algorithms and techniques.

  • Collaborate with cross-functional teams to identify business problems and develop solutions.

  • Conduct research on new machine learning algorithms and apply them to improve existing systems.

  • Develop and maintain large-scale data pipelines and architectures.

  • Work closely with data engineers to ensure seamless integration of machine learning models into larger systems.

  • Stay up-to-date with industry trends and advancements in machine learning.

Job Requirements

  • Strong foundation in computer science, mathematics, and statistics.

  • Proficiency in programming languages such as Python, C++, or Java.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Excellent understanding of data structures, algorithms, and software design patterns.

  • Strong analytical and problem-solving skills with attention to detail.

  • Ability to work collaboratively in a team environment and communicate complex ideas effectively.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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