Join freshers getting daily off-campus drives, direct apply links & remote internship updates.
100% Free · No spam · Instant direct-apply links only
Experience / Eligibility
Any Graduate / Bachelor's Degree
Salary
Not Disclosed / As per Industry Standards
Location
Mumbai, Maharashtra, India
Suitable For
College graduates, entry-level candidates, and students matching: Any Graduate / Bachelor's Degree.
Key Skills to Prepare
Focus on Python, AWS, Azure, GCP.
What You’ll Do
AI Model Development: Design, develop, and deploy advanced AI models, including machine learning algorithms, natural language processing, and computer vision, to address specific customer experience challenges.
Data Analysis: Collect, clean, and analyze large datasets to identify patterns, trends, and insights that inform AI model development and optimization.
Customer Experience Integration: Integrate AI solutions seamlessly into our existing customer experience systems and platforms, ensuring a cohesive and personalized customer journey.
Algorithm Optimization: Continuously refine and improve AI models to enhance their accuracy, efficiency, and effectiveness in delivering exceptional customer experiences.
Proof of Concept (POC) Development: Develop and test AI-powered prototypes and POCs to demonstrate the feasibility and value of proposed solutions.
Collaboration: Work closely with cross-functional teams, including product managers, designers, and customer success representatives, to align AI initiatives with business objectives and customer needs.
Stay Updated: Keep abreast of the latest advancements in AI technology and industry best practices to ensure our solutions remain cutting-edge.
Who You Are
Bachelor's degree required.
Strong programming skills in Python or other relevant programming languages.
Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn.
In-depth knowledge of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
Experience with natural language processing (NLP) techniques, such as text classification, sentiment analysis, and language generation.
Knowledge of cloud platforms (AWS, GCP, Azure) and their AI services.
A passion for delivering exceptional customer experiences through innovative AI solutions.
Knowledge of customer relationship management (CRM) systems and customer data platforms.
Experience with AI-powered chatbots or virtual assistants.
Knowledge of ethical AI practices and data privacy regulations.
Security and SaaS experience strongly preferred.
You’ll Love Working Here Because
Employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Annual health check-ups, Car lease Program, and Tuition Reimbursement
An inclusive company culture, an opportunity to join our Community Guilds
Personal accident cover and Term life cover
Ready to #makeyourmark at Commvault? Apply now!
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.
Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com.
Commvault's Privacy Policy
Essential Python interview questions asked by product startups and service-based IT companies during fresher campus and off-campus placements.
Technical PrepPrepare for your entry-level Python developer interview with 50 high-frequency questions covering data types, memory management, list comprehensions, decorators, and DSA.