AI Developer
CloudiQS
UK
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£31,000.0 - £144,000.0
Working hours
Regular working hours
Job source
Tech stack
Clean Code Principles
C (Programming Language)
Java (Programming Language)
Artificial Intelligence
Amazon Web Services
Data Analysis
Artificial Neural Networks
Bash Shell
Big Data
Computer Programming
Data Mining
Data Visualization
+20 more
Database Design
Database Schema
Apache Hadoop
Python (Programming Language)
Unix Shell
Machine Learning
Natural Language Processing
Cloud Services
Tensorflow
SAS (Software)
SQL Databases
Systems Architecture
Pytorch
Apache Spark
Deep Learning
Statistics Packages
Data Management
Machine Learning Operations
Data Pipelines
Programming Languages
Job description
- Develop and optimize machine learning algorithms using frameworks such as TensorFlow and PyTorch to enhance AI capabilities across various applications.
- Design and implement scalable data pipelines utilizing big data tools like Hadoop, Spark, and SQL databases to manage large datasets efficiently.
- Collaborate with cross-functional teams to translate business needs into technical solutions, including natural language processing (NLP) models for language understanding tasks.
- Conduct data mining and exploratory data analysis to uncover patterns, trends, and insights that inform model development.
- Write clean, efficient code in programming languages such as Python, Java, C, and Bash (Unix shell) to support model deployment and integration.
- Utilize cloud services like AWS for deploying scalable AI solutions while ensuring security and performance standards are met.
- Maintain comprehensive documentation of algorithms, data schemas, and system architecture for ongoing development and troubleshooting.
Requirements
- AWS Skills ans certification is a must!
- Proficiency in machine learning frameworks including TensorFlow and experience with natural language processing techniques.
- Strong programming skills in Python, Java, C, and Bash (Unix shell scripting).
- Hands-on experience with big data technologies such as Hadoop, Spark, SAS, and SQL databases.
- Knowledge of cloud platforms like AWS for deploying AI models at scale.
- Expertise in data mining, database design, and data analysis using R or similar statistical tools.
- Familiarity with AI concepts including neural networks, deep learning, and natural language processing applications.
- Ability to interpret complex datasets through data visualization tools and communicate findings effectively.
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