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Engineering💼 FullTime

Machine Learning Engineer III at Unknown

JobGrid Partner
•3 months ago
Location

Bengaluru, Karnataka, India

Salary

₹12-20 LPA

Apply By

ASAP

Views

108

Eligible Batches

🎓 2+Y Batch🎓 2024 Batch🎓 2025 Batch🎓 2026 Batch

Job Description

Join our cross-functional team at Unknown to drive innovation and predictive excellence in AI-powered voice solutions for the healthcare industry.

Nice to Have

Ph.D. in Computer Science or related field Experience with healthcare domain and clinical documentation Familiarity with cloud-based platforms and containerization

Eligibility Criteria

B.Tech/B.E. 2024, 2025, 2026 Batch

Tech Stack & Ecosystem

TensorFlowPythonPyTorchMachine LearningNLP

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Quick Info

TypeFullTime
RoleMachine Learning Engineer III (NLP)
Work Mode🏢 On-site
Eligible Batches
2+Y202420252026

Tech Stack

TensorFlowPythonPyTorchMachine LearningNLP

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Career Advice

Company Insights

At Unknown, you'll be part of a dynamic team that's revolutionizing the healthcare industry with cutting-edge AI-powered voice solutions. As a Machine Learning Engineer III, you'll have the opportunity to work on complex NLP challenges and develop efficient models that can be scaled to thousands of doctors worldwide. Our team's passion for innovation and collaboration will encourage you to push the boundaries of what's possible with machine learning, making this a dream role for any NLP enthusiast. With a strong focus on employee growth and development, Unknown offers a comprehensive learning program that will help you upskill and reskill in the latest technologies and trends in the industry.

Interview Guide

To ace this interview, it's essential to be well-prepared in your machine learning and NLP knowledge. Focus on practicing deep learning frameworks like TensorFlow or PyTorch, and familiarize yourself with popular libraries and tools like NLTK or spaCy. Additionally, review common NLP challenges and solutions to showcase your problem-solving skills and creativity. During the interview, be ready to answer questions on designing efficient machine learning models, implementing scalable solutions, and collaborating with cross-functional teams to drive innovation. Don't be afraid to ask questions and engage in meaningful discussions – demonstrating your enthusiasm and passion for AI-powered voice solutions is just as important as showcasing your technical expertise.