Machine Learning Engineer

November 10

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Big Data Solutions • Deep Crawl & Refresh Crawl • Cloud Computing Solution • Low Latency Crawls • Hosted Indexing

51 - 200

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. • Deployment of models & experience in the cloud. • Good knowledge on scripting and well versed with linux. • 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.

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. • Good understanding of Data structures & Algorithms. • Good in problem solving skills. • Understanding/Knowledge on ElasticSearch is a plus point. • Flexible with cross-functional work. • 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. • 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 a transformer, BERT understanding. • Should be able to fine-tune Transformer, BERT architecture for sub-level tasks.

Benefits

• 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.