Machine Learning Engineer

Summary

Join PromptCloud, a Data as a Service company, as a Machine Learning Engineer. You will collaborate with product teams to implement new features using ML, develop scalable classifiers and tools, and lead ML projects. This role requires 1-4 years of experience, strong Python and TensorFlow/PyTorch skills, and a deep understanding of machine learning algorithms. You will deploy models in the cloud and foster an ML culture within the organization. PromptCloud offers a fully remote work environment with flexible hours and various benefits, including a home office setup allowance and monthly internet bill allowances.

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
• Flexible with cross-functional work
• 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 a transformer, BERT understanding. Should be able to fine-tune Transformer, BERT architecture for sub-level tasks

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
• Deployment of models & experience in the cloud
• 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

Preferred Qualifications

• Understanding/Knowledge on ElasticSearch is a plus point
• Any prior research publication is a plus point
• Having 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
• Half-yearly performance appraisals
• Flexible working hours
• Competitive salary