Apply for Mavenir Off Campus Drive 2025! Hiring Software Engineer Job in Bangalore (MS/PhD). Build AI-driven telecom solutions with TensorFlow, PyTorch, Python. Competitive salary for AI/Data Science/CS graduates passionate about innovation.
Candidates who are interested in Mavenir Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Software Engineer job
Company: Mavenir
Qualifications: MS/Phd in AI/Data Science/CS
Experience Needed: Freshers
Job Req ID: R0015118
Location: Bangalore
Start Date: 28th July 2025
Click here to Join on WhatsApp:- https://wa.link/28qo7j
Click here to Join on Telegram:- https://telegram.me/qaidea
Job Description
Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools.
Key Responsibilities
- Very good expertise in Machine Learning (Classical) and Deep Learning
- Candidates with Reinforcement Learning experience will be preferred.
- Very good expertise in Data Science and Statistical concepts
- Excellent in building ML models using Tensorflow & Pytorch frameworks.
- Expertise in Python and SQL.
- Candidates with experience in applying ML in Telecom preferred (not mandatory)
- Basic Qualification – M.S or Phd in AI/Data Science/CS
Job Requirements
- Very good expertise in Machine Learning (Classical) and Deep Learning
- Candidates with Reinforcement Learning experience will be preferred.
- Very good expertise in Data Science and Statistical concepts
- Excellent in building ML models using Tensorflow & Pytorch frameworks.
- Expertise in Python and SQL.
- Candidates with experience in applying ML in Telecom preferred (not mandatory)
- Basic Qualification – M.S or Phd in AI/Data Science/CS
Apply Now for Mavenir Software Engineer Job
How to Apply Mavenir Off Campus Drive 2025
Click on Apply to Official Link Mavenir Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Can you describe your experience building ML models with TensorFlow or PyTorch?
- How have you applied classical Machine Learning or Deep Learning in a project?
- What is your approach to using Python and SQL for data processing in AI systems?
- Can you share an example of implementing Reinforcement Learning in a solution?
- How do you ensure the scalability and performance of ML models in production?
- What experience do you have with statistical concepts in Data Science projects?
- How would you apply ML to solve challenges in the telecom industry?
- Can you explain a time you debugged or optimized an AI model for deployment?
- What strategies do you use to stay updated with advancements in AI and ML?
- How do you collaborate with teams to integrate ML solutions into software systems?
