AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Senior DS
ODS.AI is a community platform for ML competitions, data science events, and learning tracks.
Experience Requirements:
Senior
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Middle Data Scientist
ODS.AI is a community platform for ML competitions, data science events, and learning tracks.
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Team Lead Data Scientist
ODS.AI is a community platform for ML competitions, data science events, and learning tracks.
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Senior ML Engineer/Researcher
Play.ht generates realistic AI voices and provides voice agents for businesses. It offers customizable knowledge, integrations, on-premise deployments, and multilingual support.
Benefits:
Offers Equity
Offers Bonus
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ML Engineer/Researcher
Play.ht generates realistic AI voices and provides voice agents for businesses. It offers customizable knowledge, integrations, on-premise deployments, and multilingual support.
Benefits:
Offers Equity
Offers Bonus
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Statistician / Data Scientist
Fuzzy Match is an AI-powered data matching solution that uses machine learning to provide accurate search results, even with typos and variations in spelling.
Experience Requirements:
1 - 3 years
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Data Scientist
OneAI offers an AI telemarketing platform, providing AI agents, dialing, scheduling, optimization, and reporting. It streamlines training, maximizes connections, and offers real-time integration with various systems.
Education Requirements:
Master degree or higher in Computer Science/Mathematics/Physics,/Electric engineering or equivalent is a must
Experience Requirements:
2+ years experience with Python
3+ years experience with conducting NLP research (Specifically: Text) using Deep Learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.)
Other Requirements:
Strong theoretical background in Machine Learning
An understanding of linguistics’ theory and principles (semantic relations, parsing methods, etc.)
Educate our customers on new and existing features, best practices, and a variety of use cases across industries. This is achieved by planning and hosting online demos, consultations, and screen shares on both a one-to-one and one-to-many basis.
Optimization
Information theory
Probability and statistics
Bayesian methods
Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS)
Experience with distributed DL
Experience with cloud ML (GCP, AWS, etc.)
Responsibilities:
study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.
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