Full-Time Machine Learning Engineer - Remote

Machine learning engineerResponsibilities :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.

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 (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 processingMust have a 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 optimizationTroubleshoot the platform related incidentsCreate and generate periodic and ad hoc reportsHaving 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 PromptCloud’s culture and how we work can be found in the PC 2.0 Culture Handbook shared here - https://www.promptcloud.com/life-at-promptcloud.

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