Remote Machine Learning Engineer

Summary

Join PromptCloud as a Machine Learning Engineer and contribute to shaping the imminent data-driven future by solving some of its fundamental and toughest challenges. As a key member of our team, you will work closely with product teams to implement new products and features using ML, develop highly scalable classifiers and tools, and own and drive all ML projects.

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 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

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