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Description:
Work closely with product teams to implement new products and features using ML.
Develop highly scalable classifiers and tools leveraging machine learning, deep learning, and rules-based models.
Own and drive all ML projects.
Inculcate ML culture within an organization.
Must have Python programming skills and strong coding capabilities in TensorFlow or PyTorch.
Good understanding of Machine Learning algorithms (Regression algorithms, Decision Trees), Distributions, and Deep Learning algorithms.
Prior research publication is a plus point.
Strong programming skills with experience crafting, prototyping, and delivering advanced algorithmic solutions.
Passion for making ML methods robust and scalable.
Experience in extraction from structured/unstructured text.
Experience in NLP algorithm implementation and modification of standard algorithms.
Experience in deep learning approaches to NLP.
Familiarity with database queries and data analysis processes.
Good in natural language processing, information extraction, and text mining algorithms.
Track record of leading, building, and deploying production NLP systems on large scale text data.
Must have transformer, BERT understanding and be able to fine-tune Transformer, BERT architecture for sub-level tasks.
Monitor performance of existing pipelines and services, continuously look for opportunities to improve developer experience and cost optimization.
Troubleshoot platform-related incidents.
Create and generate periodic and ad hoc reports.
Experience in Bard, Gemini, etc will be added advantages.
Requirements:
1 to 4 years of relevant work experience.
Python programming skill is a must. Strong coding capabilities in TensorFlow or PyTorch.
Good understanding of Machine Learning algorithms (Regression algorithms, Decision Trees), Distributions, and Deep Learning algorithms.
Any prior research publication is a plus point.
Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions.
Passion for making ML methods robust and scalable.
Experience in extraction from structured/unstructured text.
Experience in NLP algorithm implementation and modification of standard algorithms.
Experience in deep learning approaches to NLP.
Familiarity with database queries and data analysis processes.
Good in natural language processing, information extraction, and text mining algorithms.
Track record of leading, building, and deploying production NLP systems on large scale text data.
Must have transformer, BERT understanding and be able to fine-tune Transformer, BERT architecture for sub-level tasks.
Experience in Bard, Gemini, etc will be added advantages.
Benefits:
An environment where each employee is celebrated.
A one-time home office setup allowance, monthly allowances for internet bills, child care allowance for new mothers/single parents.