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Engineering💼 FullTime

Machine Learning Engineer at HackerRank Careers

HackerRank Careers
9 days ago
Location

Not specified

Salary

Competitive

Apply By

ASAP

Views

19

Eligible Batches

🎓 2026 Batch🎓 2025 Batch🎓 2026 Batch

Job Description

Join our team as a Machine Learning Engineer and contribute to cutting-edge AI solutions. Leverage your expertise in machine learning to drive innovation at scale.

Roles & Responsibilities

Design, develop, and deploy scalable machine learning models Collaborate with cross-functional teams to integrate ML solutions into product roadmaps Continuously improve and refine ML models to achieve business objectives

Requirements

B.Tech/B.E. in Computer Science or related fields 3+ years of experience in machine learning engineering Proficiency in Python, TensorFlow, or PyTorch Strong understanding of deep learning concepts and algorithms

Eligibility Criteria

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

Tech Stack & Ecosystem

Machine LearningPythonTensorFlowPyTorchDeep Learning

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Quick Info

TypeFullTime
RoleSDE
Work Mode🏢 On-site
Eligible Batches
202620252026

Tech Stack

Machine LearningPythonTensorFlowPyTorchDeep Learning

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Career Advice

Company Insights

HackerRank Careers offers a unique opportunity to join a dynamic team of innovators who are shaping the future of AI. As a Machine Learning Engineer, you'll be working on real-world problems that require creativity, critical thinking, and collaboration. Our company culture values open communication, continuous learning, and a passion for solving complex challenges. By joining our team, you'll have the chance to develop your skills, take on new challenges, and make a meaningful impact on the company's success.

Interview Guide

To ace an interview for this role, focus on showcasing your hands-on experience with machine learning frameworks such as TensorFlow or PyTorch. Be prepared to discuss your understanding of deep learning concepts, algorithmic complexity, and performance optimization. Additionally, demonstrate your ability to communicate complex technical ideas effectively to both technical and non-technical stakeholders. Practice whiteboarding exercises to improve your technical problem-solving skills, and be ready to discuss case studies or real-world projects that highlight your expertise in machine learning engineering.