Pepper (www.peppercontent.in) is building India’s largest content marketplace that brings companies and content creators together to scale up content creation processes across 10 content verticals and 150+ content categories, 40+ content verticals, and 40+ global languages. Over the past 3 years, we’ve worked with brands like Adobe, upGrad, Swiggy, Dunzo, BusinessWorld, Digit, Shiksha.com, Rapido, BookMyShow, UrbanClap, Yatra, Bewakoof, YourStory, Bharat Matrimony, and 300+ other brands. We have over 30,000+ writers and graphic designers who have applied to Pepper so far, who form part of the ‘Pepper Cloud’.
We are on the path to building a global on-demand content marketplace platform that allows for collaboration, discovery, and upskilling for all our creators. Now we are in a rapid expansion phase to enter into more content service offerings, engage a wide spectrum of content creators and at the same time, scale up our existing services. To fuel all this, we have some exciting product ideas planned, and we are looking for stellar folks who can ideate, plan and execute upon them to get the product out of the door.
We’re looking for an “Applied Machine Learning Engineer” with a passion for problem solving. In this role, you will help us achieve our goal of building cutting edge AI/ML capabilities within our products to disrupt the content economy.
You will closely work with the Engineering and Product teams to build and deploy top quality ML/AI systems derive valuable insights from our data & help the business make better decisions.
Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
Understanding the business objectives & defining the right target metrics to track performance & progress.
Defining & building datasets with the appropriate representation techniques for learning.
Training & tuning models. Running evaluation & test experiments on the models.
Build ML pipelines end to end. (Everything MLOps.)
Building pipelines for the various stages.
Troubleshooting issues with models in production.
Reporting results of model performance in production.
Retraining, performance logging & maintenance.
2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc. Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
Experience with ML infrastructure & shipping models.
Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
Strong understanding of database systems & schema design. Proficient in SQL