Data Scientist – NLP/Machine Learning

Job Description

Responsibilities

• 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.

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.
• A passion for making ML methods robust and scalable.
• Experience in extraction from structured/unstructured text (knowledge or statistics based).
• Experience in one or more of the following areas: entity/relation extraction, normalization, text. summarization, semantic search, word/paragraph/document embedding, ranking, etc.
• NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement).
• Experience in deep learning approaches to NLP: word/paragraph embedding representation learning, text/sentiment classification, word2vec.
• Experience with neural networks and deep learning frameworks (such as Keras, TensorFlow, torch)
  Familiarity with database queries and data analysis processes (SQL, Python).
• Good in natural language processing, information extraction, and text mining algorithms, tech stacks, and experience with datasets – benchmark and the real world.
• Track record of leading, building, and deploying production NLP systems on large scale text data.
• Should be very good at Natural language processing
• Must have transformer, BERT understanding. Should be able to fine-tune Transformer, BERT architecture for sub-level tasks.
• Monitor the performance of existing pipelines and different services, continuously look out for opportunities to improve the developer experience, and cost optimization
• Troubleshoot the platform related incidents
• Create and generate periodic and ad hoc reports
• Having experience in Bard, Gemini, etc will be added advantages.

Perks

• 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.
• Half-yearly performance appraisals
• Flexible working hours
• Competitive salary