Artificial Intelligence Engineer
Solid Ground
Bradenton, United States of America
8 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 80KJob location
Bradenton, United States of America
Tech stack
C
Java
Artificial Intelligence
Amazon Web Services (AWS)
Bash
Big Data
Cloud Computing
Data Integration
ETL
Data Mining
Database Design
Database Queries
Distributed Systems
Hadoop
Python
Linked Data
Shell
Machine Learning
Natural Language Processing
NoSQL
TensorFlow
SAS (Software)
SQL Databases
Talend
Data Ingestion
Spark
Model Validation
Vba Programming Language
Codebase
Data Management
Machine Learning Operations
Tools for Reporting
Looker Analytics
Data Pipelines
Unsupervised Learning
Job description
- Design, develop, and implement machine learning models
- Lead model training and evaluation processes, ensuring accuracy and robustness through techniques like unsupervised learning and data mining.
- Build scalable data pipelines using ETL tools like Talend and Hadoop to facilitate efficient data ingestion from diverse sources including linked data and big data environments.
- Collaborate with cross-functional teams to integrate AI models into production systems via model deployment strategies on cloud platforms like AWS.
- Conduct research on emerging AI trends such as quantum engineering and natural language processing to enhance existing solutions or develop new capabilities.
- Design and optimize database schemas for efficient storage and retrieval of large datasets, leveraging SQL, NoSQL, and database design best practices.
- Develop analytical dashboards using tools like Looker to visualize insights derived from complex datasets for stakeholders.
- Maintain comprehensive documentation of algorithms, codebases, and model performance metrics to ensure transparency and reproducibility.
Requirements
- Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), with experience in machine learning frameworks such as TensorFlow and Spark.
- Strong understanding of AI concepts including natural language processing, model training, model deployment, and machine learning techniques like unsupervised learning.
- Hands-on experience with big data tools such as Hadoop, Spark, and ETL platforms like Talend for data integration and processing.
- Knowledge of cloud computing services especially AWS for deploying scalable AI solutions.
- Expertise in database design principles along with SQL proficiency for managing structured data.
- Familiarity with analytics tools such as Looker for creating insightful visualizations; experience with SAS is a plus.
- Background in data mining, linked data integration, and working with large datasets in distributed environments.
- Understanding of quantum engineering principles as they relate to emerging AI research areas is an advantage.
- Ability to communicate complex technical concepts clearly to both technical teams and non-expert stakeholders. Embark on a journey where your skills in AI can shape the future! We're eager to welcome passionate professionals ready to innovate at the intersection of technology and intelligence-helping us unlock new possibilities through advanced analytics and machine learning excellence!
Benefits & conditions
Pulled from the full job description
- Health insurance
- Dental insurance