Live opening · Posted 1 day ago

Artificial Intelligence Engineer

Remote Pajama Jobs · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyRemote Pajama Jobs
LocationIndia (Remote)
Work modeYes
SkillsArtificial Intelligence, Python, AWS, Azure, GCP, TensorFlow, PyTorch
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

𝗥𝗲𝗺𝗼𝘁𝗲 𝗣𝗮𝗷𝗮𝗺𝗮 𝗝𝗼𝗯𝘀 𝗶𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗳𝗮𝘀𝘁𝗲𝘀𝘁-𝗴𝗿𝗼𝘄𝗶𝗻𝗴 new remote job boards, on a mission to make finding quality remote work easier, more accessible, and 𝗺𝗼𝗿𝗲 𝗮𝗳𝗳𝗼𝗿𝗱𝗮𝗯𝗹𝗲 𝘁𝗵𝗮𝗻 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀.
We connect job seekers with handpicked remote opportunities, helping them discover their next career move without the hassle or high costs of traditional job boards.
We’re building a smarter, more accessible way to connect talent with remote career opportunities. Our goal is to challenge traditional remote job boards with a streamlined, user-friendly experience that puts job seekers first.
Qualifications
Strong foundation in Computer Science and Software Development, including data structures, algorithms, and production-grade coding practices.
Demonstrated expertise in Pattern Recognition and Neural Networks, with experience building and optimizing machine learning or deep learning models.
Hands-on experience with Natural Language Processing (NLP), including text classification, semantic search, or information extraction.
Proficiency with relevant tools and frameworks (e.g., Python, PyTorch or TensorFlow, scikit-learn, NLP libraries such as spaCy or Hugging Face).
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field, or equivalent practical experience.
Experience deploying models to production environments and working with APIs, cloud platforms (e.g., AWS, GCP, Azure), and CI/CD workflows.
Strong analytical and problem-solving skills, with the ability to work independently in a remote setting and collaborate effectively across distributed teams.
Familiarity with recommendation systems, ranking algorithms, or search relevance is a plus.
Interest in the job search, recruiting, or HR tech ecosystem.

Work arrangement
Yes

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