HackerRank Hiring Machine Learning Engineer, Evaluation | Bengaluru (Hybrid) | Apply Now
HackerRank Hiring Machine Learning Engineer, Evaluation | Bengaluru (Hybrid) | Apply Now
Application Link
Apply Here:
https://job-boards.greenhouse.io/hackerrank/jobs/7793413
HackerRank is inviting applications for the position of Machine Learning Engineer, Evaluation at its Bengaluru office. This is an exciting opportunity for candidates passionate about Artificial Intelligence, Machine Learning, and Large Language Models to work with one of the world's leading developer assessment and hiring platforms.
About HackerRank
HackerRank is a technology company that helps organizations evaluate and hire software developers through coding assessments and technical interviews. Trusted by leading companies worldwide, HackerRank empowers developers and businesses through innovative skill assessment solutions.
Job Details
Company Name: HackerRank
Role: Machine Learning Engineer, Evaluation
Job Type: Full-Time
Work Mode: Hybrid
Location: Bengaluru, India
Eligibility Criteria
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or related fields.
Strong understanding of Machine Learning concepts and algorithms.
Experience with Python and ML frameworks.
Knowledge of Large Language Models (LLMs) is a plus.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Key Responsibilities
Develop and improve machine learning evaluation systems.
Design and implement AI-powered solutions.
Analyze model performance and optimize evaluation metrics.
Collaborate with engineering and product teams.
Work on large-scale machine learning applications.
Contribute to innovation in AI and developer assessment technologies.
Why Join HackerRank?
Opportunity to work on cutting-edge AI and Machine Learning projects.
Hybrid work environment.
Exposure to global engineering teams.
Competitive compensation and benefits.
Learning and career growth opportunities.
Collaborative and innovation-driven culture.
Important Note
Candidates are advised to apply as early as possible. Recruitment processes may close once the required number of applications has been received.
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