Ml Engineer Job in Pepper Content

Ml Engineer :

Pepper Content (www.peppercontent.io) is building a global content marketplace that brings companies and content creators together to scale up content creation processes across 75+ content verticals and 150+ content categories. Over the past 4.5 years, over 100,000+ freelance content creators have applied to be part of the Pepper network of which we work with the top 5% talent, and on the other end - we work with over 2500+ customers like Amazon, Adobe, Google, HDFC Bank, Adani, and majority of the startup ecosystem.

We are building a global SaaS-enabled marketplace for fast-growth SMB, mid-market and enterprise customers that helps marketers manage all their activities ranging from content creation to workflow management and content distribution. To fuel all this, we have some exciting plans, and we are looking for someone in the capacity of Machine Learning Engineer

Job Responsibilities:

• 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.

• Deploying models.

• Troubleshooting issues with models in production.

• Reporting results of model performance in production.

• Retraining, performance logging & maintenance.

• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 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