{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"

Role & responsibilities

5 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch

Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring

Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience

Experience communicating and teaching technical concepts to non-technical and technical audiences alike

Passion for collaboration, life-long learning, and driving value through ML

[Preferred] Experience working with Apache Spark to process large-scale distributed datasets

[Preferred] Experience working with the Databricks platform

","datePosted":"2026-07-13T00:00:00.000Z","validThrough":"2026-09-11T00:00:00.000Z","employmentType":"FULL_TIME","identifier":{"@type":"PropertyValue","name":"myjobb-ai","value":"5559793"},"url":"https://myjobb.ai/jobs/machine-learning-engineer/5559793","directApply":false,"hiringOrganization":{"@type":"Organization","name":"Datanimbus","logo":"https://img.naukimg.com/logo_images/groups/v1/mobile/10663340.gif"},"jobLocation":[{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad","addressRegion":"Telangana","addressCountry":"India"}}]}