ZOHO Corp Off Campus Drive 2024 for Machine Learning Engineer:
Job Role | Machine Learning Engineer |
Job Type | Off-Campus Drive |
Qualification | B.E/B.Tech |
Experience | 1 – 4 years |
Salary/CTC | Best in Industry |
Job Location | Chennai |
Last Date | ASAP |
Detailed Eligibility:
Machine Learning Engineer:
- Candidates must possess a B.E/B.Tech qualifications
- Having 1-4 years of experience in the field of software development
- Skill Set: Python/Java (must be strong in logical programming)
Good to Have:
- Experience in one of the specializations like Deep Learning, Natural Language Processing, Image Processing, Recommender Systems, Reinforcement Learning, and Generative AI.
- Experience in statistical modelling techniques, pattern mining techniques and LLM’s.
- Experience in machine learning frameworks like TensorFlow, PyTorch, Keras etc.
- Experience in Big data Technologies and solutions like Spark, Hive, Hadoop, Kafka etc.
Job Description:
- Strong mathematical & numeracy skills
- Having experience/interest in Machine Learning/Data Engineering/Machine Learning Operations(MLOps)
- Storytelling skills and ability to communicate present results to the team effectively.
- Having expertise in atleast one of the programming languages like C, C++, Java, Scala or Python
- Basic understanding of data structures, data modelling, design principles, software architectures and CI/CD Pipelines
- Having experience with File Systems, server architectures and distributed systems
- Strong Knowledge in Probability, Statistics, Transformers, Machine Learning and Deep Learning Algorithms
Notes:
- 2025 graduates, kindly refrain from attending this interview process.
- Only Shortlisted Candidates will receive an interview call letter.
- Kindly refrain from taking up multiple interviews with Zoho simultaneously
- Interview Location: Chennai
How to Apply for ZOHO Corp Off Campus Drive 2024?
All interested and eligible candidates can apply for this drive online as soon as possible by following the link below.
For More Details & To Apply: Click here.