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Apheleia Marketing —Houston, TX
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- Full-time
- Mid-level
- Java
- AWS
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9h
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Terra Quantum —United States
- Hybrid work
- Computer science
- Azure
- Computer Science
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Fiber Sensing PostDoc
NOKIA —United States
- Full-time
- Computer Science
- English
- Doctor of Philosophy

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AI analyst

Apheleia Marketing
Houston, TX

Quick Apply

Job Details

Full-time
$35.95 - $43.30 an hour
9 hours ago

Qualifications

AI models
TensorFlow
Statistics
Predictive modeling analysis
Application deployment
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Model deployment
Model training
Machine learning libraries
Machine learning frameworks
Relational database design
Data analysis software

Full Job Description

Job Overview
We are seeking a dynamic and innovative AI Analyst to join our forward-thinking team. In this role, you will harness the power of artificial intelligence and machine learning to drive data-driven decision-making and develop cutting-edge solutions. Your expertise will enable us to analyze complex datasets, build robust models, and deploy AI applications that enhance operational efficiency and business insights. This position offers an exciting opportunity to work with advanced technologies such as AWS cloud services, TensorFlow, natural language processing, big data frameworks, and more. If you thrive in a fast-paced environment and are passionate about transforming data into actionable intelligence, this role is perfect for you!

Duties

Develop, train, and optimize machine learning models using frameworks like TensorFlow and other AI tools to solve real-world problems across various domains.
Design and implement scalable ETL (Extract, Transform, Load) processes to prepare large datasets for analysis using tools like Talend, Hadoop, Spark, and SQL.
Collaborate with cross-functional teams to gather requirements and translate them into effective AI solutions that support business objectives.
Conduct data mining and exploratory data analysis to uncover patterns and insights from complex datasets, including linked data sources.
Deploy machine learning models into production environments ensuring seamless integration with existing systems using model deployment best practices.
Utilize natural language processing techniques to analyze unstructured text data for sentiment analysis, chatbots, or information extraction tasks.
Maintain comprehensive documentation of algorithms, processes, and model performance metrics while staying current with emerging trends in AI and quantum engineering.

Qualifications

Proven experience with machine learning frameworks such as TensorFlow or PyTorch.
Strong programming skills in Python; familiarity with Java, C, Bash (Unix shell), VBA is a plus.
Hands-on experience with big data technologies including Hadoop, Spark, and SQL databases; knowledge of database design is essential.
Proficiency in cloud computing platforms like AWS for model training and deployment.
Expertise in natural language processing (NLP), data mining techniques, and analytics tools such as Looker or SAS.
Knowledge of unsupervised learning methods and their application to large-scale datasets.
Ability to develop scalable ETL pipelines using Talend or similar tools; experience with data integration from linked data sources is advantageous.
Familiarity with analytics software such as R or SAS for statistical analysis; experience with Model training and deployment is required.
Strong understanding of AI principles including machine learning workflows, model evaluation metrics, and natural language processing techniques. Join us in shaping the future of intelligent technology solutions! We are committed to fostering an inclusive environment where innovation thrives through diverse perspectives. This paid position offers an engaging platform to advance your expertise while making a meaningful impact through cutting-edge AI initiatives!

Pay: $35.95 - $43.30 per hour

Work Location: In person

Quick Apply

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