Artificial Intelligence Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Developer focused on NLP, offering a contract length of unspecified duration, with a pay rate of $8k-$10k/month. Key skills include Python, deep learning frameworks, and cloud deployment. Remote work is available.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
476.1904761905
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ποΈ - Date discovered
June 19, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Irvine, CA
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π§ - Skills detailed
#Hugging Face #GIT #PyTorch #TensorFlow #AWS (Amazon Web Services) #Cloud #Spark (Apache Spark) #Data Engineering #"ETL (Extract #Transform #Load)" #Transformers #NLTK (Natural Language Toolkit) #Libraries #Deployment #ML (Machine Learning) #SpaCy #Unit Testing #Azure #Version Control #Python #NLP (Natural Language Processing) #AI (Artificial Intelligence) #Kafka (Apache Kafka) #GCP (Google Cloud Platform) #Sentiment Analysis
Role description
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Position: AI/NLP Engineer
Location: Los Angeles/ Orange County/Remote
About the Us:
ο»ΏWeβre an AI-driven startup building a mobile dating application providing efficient partner search based on 120+ compatibility criteria, and relationship development.
About the Role:
Youβll be responsible for the end-to-end design, implementation, and deployment of our NLP pipeline β everything from pre-processing, maintaining and model fine-tuning to production-scale inference.
Key qualifications:
- Hands-on experience building and deploying NLP/ML systems in Python.
- Proficiency with deep-learning frameworks (PyTorch or TensorFlow) and NLP libraries (Hugging Face Transformers, spaCy, NLTK).
- Strong software engineering practices: version control (Git), unit testing, CI/CD pipelines, and cloud deployments (AWS, GCP, or Azure).
Nice-to-Haves:
1. Background in production-level data engineering (Kafka, Spark) or real-time stream processing.
1. Sentiment analysis.
1. Work experience in startups.
Compensation ranges from $8k-$10k/month based on experince.
