NoBlah - AI Automation Engineer

Client: NoBlah

Location: Remote

Contract: Temporary

Job Description

We are seeking a highly skilled AI Automation Engineer to lead the development and deployment of advanced artificial intelligence solutions. The ideal candidate will leverage expertise in machine learning, data engineering, and cloud technologies to design scalable AI systems that optimize business processes. This role offers an exciting opportunity to work on cutting-edge projects involving big data, natural language processing, and model deployment across diverse platforms. The AI Automation Engineer will collaborate with cross-functional teams to implement innovative solutions that drive operational efficiency and strategic insights.

Responsibilities

• Design, develop, and implement machine learning models using frameworks such as TensorFlow, Spark MLlib, and other relevant tools.
• Lead model training, validation, and deployment processes ensuring robustness and scalability in cloud environments like AWS.
• Develop ETL pipelines for data extraction, transformation, and loading from various sources including Hadoop, SQL databases, and linked data repositories.
• Architect and optimize database schemas for efficient data storage and retrieval supporting AI applications.
• Utilize natural language processing techniques for projects involving text analysis and language understanding.
• Perform data mining and analytics to uncover patterns and insights that inform model improvements.
• Collaborate with data engineers to build big data solutions using Hadoop, Spark, Talend, and other tools for scalable data processing.
• Implement automation workflows using Bash scripts, VBA macros, or other scripting languages to streamline processes.
• Conduct research on emerging AI trends such as quantum engineering applications in machine learning.
• Ensure seamless model deployment into production environments with continuous monitoring and updates.
• Document technical specifications and contribute to knowledge sharing within the team.

Requirements

• Proven experience with machine learning frameworks such as TensorFlow, SAS, R, or similar tools.
• Strong programming skills in Python, Java, C, VBA, Bash (Unix shell), or equivalent languages.
• Hands-on experience with AWS cloud services for deploying scalable AI solutions.
• Expertise in big data technologies including Hadoop, Spark, ETL tools like Talend, and database design principles.
• Solid understanding of natural language processing (NLP), data mining techniques, and analytics methodologies.
• Familiarity with SQL for database querying and Looker for data visualization.
• Knowledge of unsupervised learning algorithms and model training techniques.
• Background in quantum engineering or related fields is a plus but not mandatory.
• Excellent problem-solving skills with the ability to analyze complex datasets effectively.
• Strong communication skills with the ability to collaborate across multidisciplinary teams.

Additional Information

Job Type: Temporary

Pay: $50.00 per hour

Work Location: Remote