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You will be updated with latest job alerts via emailMachine learning engineer
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 rulesbased 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.
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 crossfunctional 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 (e.g. change objectives workout 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 a transformer BERT understanding. Should be able to finetune Transformer BERT architecture for sublevel 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.
We are a 100% remote company and we strive to build a unique and thriving workplace where work is designed around people (and not the other way round). More details on PromptClouds culture and how we work can be found in the PC 2.0 Culture Handbook shared here
Perks
An environment where each employee is celebrated.
A onetime home office setup allowance monthly allowances for internet bills child care allowance for new mothers/single parents.
Halfyearly performance appraisals
Flexible working hours
Competitive salary
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Fulltime
Remote