Job Description : ML ( NLP) Intern
About Zocket:
Founded in 2021, Zocket leverages GenAI to enable businesses to effortlessly create and launch ads
in seconds. With Zocket, businesses can manage ads across channels like Facebook, Instagram,
Google and WhatsApp in a single platform.
Zocket's proprietary world-class tech stack is built with cutting edge Machine learning and Artificial
intelligence capabilities. Zocket is founded by IIM Grad second time entrepreneurs and has raised
$3.5 million to date from marquee investors including Kalaari capital.
Zocket's mission is to transform how businesses leverage digital marketing to acquire new customers
and grow their business. Zocket's primary markets are USA, Canada and India.
Zocket is proud to be building for the Globe from India .
Check out More Details Below -
What We Do👩💻 - Zocket
How We Do 🎮 - Zocket Playbook
Key Responsibilities:
● Together with the Machine Learning team of Zocket, work on the research & development
activities on a daily basis and contribute to reporting, coding, testing, and implementation of
relevant models
● Also, core responsibility will be to develop NLP accelerated tools such as content generation,
context analysis etc.
● Understanding problem/use-case, brainstorming approaches and techniques
● Training models and evaluating system/performance metrics
● Develop and deploy APIs and standardising pipelines
Must have Skills:
● Coding skills: Python, Huggingface, Pytorch, tensorboard, wandb, etc,
● Knowledge of associated libraries - Scikit-learn, scipy, numpy, pandas, matplotlib, etc.
● Advanced Machine Learning and deep learning models and good foundation in Python, data
structures, algorithms and general ML development
● Ability to work in multi-disciplinary team with a strong product focus
Good to have
● Prior experience with finetuning/pretraining models to improve specific NLP tasks
● Expertise in parallelisation
● Experience in handling large-scale data
● AWS or any other cloud service knowledge and SQL
● Hands on experience with model parallelism, data parallelism, and efficient finetuning
methods
Essential education/qualification
● Currently enrolled in Bachelor’s program from computer science or any relevant fields
● Prior experience with 1-2 internships demonstrating candidate’s exposure to real-world
problems solving using Machine Learning, especially Natural Language Processing
● Background knowledge of today's cutting edge tech: Transformers, LLM, LoRA, Adapters,
finetuning paradigm, Quantization, PEFT methods, etc.
Work location - Hybrid-Chennai/Remote
Duration- 3 - 6 months