AI Data Engineer

This is a position we're hiring on behalf of our client in the cloud solutions industry.

Description

As an AI Data Engineer, you will play a crucial role in designing and building scalable data pipelines, infrastructure, and machine learning systems to support AI-driven projects. You will collaborate closely with AI Product Managers, Data Scientists, and Software Engineers to develop AI models and solutions tailored to business needs.

Your key responsibilities will include:

● Data Pipeline Development: Designing, building, and maintaining scalable data transformation, ingestion, and storage pipelines to support AI and machine learning applications.

● AI Model Deployment: Collaborating with data scientists and AI engineers to deploy machine learning and AI models into production environments.

● Infrastructure Automation: Automating AI infrastructure to streamline development workflows for data scientists and AI engineers.

● Model Development & Integration: Assisting in building AI models from the ground up, transforming machine learning models into APIs, and integrating them with other systems for real-world applications.

● Statistical Analysis: Conducting statistical analysis to interpret model results and inform business decisions.

● AI Experimentation: Running experiments and tests for machine learning models and AI applications, ensuring optimal performance.

● Collaboration: Partnering with cross-functional teams, including electronics and robotics departments, to integrate AI solutions effectively.

● System Maintenance: Monitoring and retraining systems to ensure continuous improvement and alignment with evolving business goals.

● Stakeholder Communication: Translating complex AI outcomes into actionable insights for business users and stakeholders.

● Other tasks required by CTO/ CEO.

Requirements

● Educational Background:

○ Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial

Intelligence, or a related field.

● Technical Expertise:

○ 3+ YOE

○ Extensive experience in building data pipelines and deploying AI/ML models into

production environments.

○ Proficiency in programming languages such as Python, Java, C++, or R.

○ Strong knowledge of statistics, calculus, and probability for algorithm development

and model evaluation.

○ Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or

Scikit-learn.

● Cloud Experience:

○ Expertise in cloud services (e.g., AWS, Azure, or Google Cloud) with at least 3 years

of experience in deploying AI models.

○ Must hold a relevant cloud certification, such as AWS Certified Data Analytics,

AWS Certified Machine Learning Specialty, or equivalent.

● AI Specializations:

○ Familiarity with natural language processing, computer vision, and common AI model

architectures.

○ Experience in transforming AI models into APIs for integration with other sytems.

● Additional Skills:

○ Solid understanding of data engineering practices, including ETL, feature

engineering, and data preprocessing.

○ Ability to work collaboratively in an agile and fast-paced environment.

○ Strong problem-solving and communication skills.

○ Demonstrated ability to run AI experiments and optimize performance through

testing.

● Preferred Qualifications:

○ Experience with robotics or electronics integration.

○ A track record of contributing to end-to-end AI product development.