ShareChat Off Campus Drive 2023 Hiring Freshers As ML Intern For All Graduates
February 24, 2023
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Want to Know The Salary of Your Dream Company?
ShareChat Off Campus Drive 2023 Details:
About Us:
ShareChat (https://sharechat.com/about) is India’s largest homegrown social media company, with 400+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours.Founded in October 2015, with a vision of building an inclusive community that encourages & empowers everyone to share their unique journey and valuable experiences with confidence.ShareChat is valued at $5 bn. We are spearheading India’s internet revolution by building products through world-class AI & tech to evangelize the content ecosystem for India in regional languages.We believe in complete ownership of problem-solving while committing to speed and integrity in everything we do. We place the utmost importance on user empathy & strive to work towards creating a world-class experience for them every day. Join us to drive how the next billion users will interact on the internet!
Job Profile: ML-Intern
Company Name: ShareChat
Work Location: Bengaluru, Karnataka, India
Experience Required: Freshers
What does the team do?
Within the ShareChat AI team, we are looking to hire for an ML intern to help us further improve our recommendation system. In this role you would be responsible for developing highly distributed systems and enabling rapid ML development. You’ll join the team developing low latency pipelines making >10 billion inference requests per day, serving traffics via ML Models trained on TPUs and served via GPUs.You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing and we are making big progress at a rapid pace.
What You’ll Do?
Design and develop systems that serve or aid in recommendations to over 300 million users.
Train and deploy large scale models using machine learning and deep learning-based techniques.
Feature learning and enhancement across multiple modalities.
Evaluating models in multiple offline, online settings to gauge its efficacy in an industrial setup.
Opportunity to publish in high impact conferences to showcase your work.
Collaborate with peers and teams to build models and platforms to enhance ML@Sharechat.
Who are you?
Familiarity with machine learning frameworks like Tensorflow, Keras, PyTorch, Caffe etc. and libraries like scikit-learn.
Outstanding analytical and problem-solving skills.
Knowledge of machine learning and deep learning state of the art.
Excellent coding skills in at least one of Python, Go, C/C++, Java, NodeJS. Knowledge of SQL is a huge plus.
Understanding of data structures, data modelling and software architecture.
Some knowledge of agile development methodologies (Git/Github, Docker, Jupyter Notebook).
Apply Before the link Expires.
Apply Link- Click Here to Apply
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