ShareChat ML Intern | Freshers must apply : Work from home and build the future of AI with generative models
ShareChat ML Intern | Freshers must apply : ShareChat Hiring for ML Intern – Generative AI. Candidates with Bacholer’s/ Master’s degree can apply for this position to work from home (Remote). The detailed eligibility criteria and application process are given below.
Company Website: sharechat.com
Job Role: ML Intern – Generative AI
Qualification: Bacholer’s/ Master’s degree
Experience: Fresher
Batch: Recent Batches
| Job Title | ShareChat ML Intern | Freshers must apply |
|---|---|
| Description | Bachelor’s or master’s degree |
| Work Location | Remote Work |
| Employment Type | FULL TIME |
Salary: 27 to 33 LPA (Expected)
Location: Work From Home
Last Date: ASAP
What does the team do?
Within the Sharechat AI team, we are looking for an ML intern to help us build Generative AI based cutting-edge solutions for Indian consumers. In this role you would be responsible for researching, training and deploying Generative AI models for computer vision and NLP use cases. Prior experience in training large language/diffusion models on custom datasets is highly preferable. The internship will have considerable emphasis on research so interested candidates with prior experience in publishing in top tier conferences will be preferred.
What You’ll Do?
Design and develop systems that serve recommendations to over 300 million users
Lead complex engineering projects end to end.
Develop scalable ML systems like feature stores, Inference services that enable the entire ML product lifecycle
Improve system design and architecture to ensure high stability and performance
Partner with peers and work in an environment that support your growth
Collaborate with other teams to build tools and platforms to enhance ML engineering productivity
Who Are You?
Strong CS fundamentals with a track record of writing production-quality code in a modern high-level programming language (e.g. Python, Go)
Deep expertise in automated software testing, particularly with distributed systems
Passion for and ability to define and drive engineering initiatives to improve scalability, reliability and quality
Strong communication skills. Experience leading projects is a plus
Excellent debugging skills in diagnosing issues across a multi-tier architecture
Industry experience in building end-to-end machine learning infrastructure and productionising models is a plus. Deep expertise in Golang, Kubernetes is a plus
How to apply for ShareChat ML Intern | Freshers must apply?
All interested and eligible candidates can apply for this position online by the following link as soon as possible.
To Apply: Click here
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