Applied AI Engineer

About the Role

One of our client is seeking a highly skilled Applied AI Engineer to design and deploy advanced AI-driven solutions in a fully remote environment. In this role, you will collaborate with cross-functional teams to transform complex datasets into scalable, production-ready machine learning systems. This is an opportunity to contribute to innovative, real-world AI applications while working alongside experienced engineers and domain experts.

Key Responsibilities

• Design, develop, and implement machine learning models to address diverse business challenges.
• Collaborate with cross-functional stakeholders to identify opportunities for AI integration and innovation.
• Preprocess, analyze, and interpret structured and unstructured datasets using Python and related tools.
• Develop and maintain APIs and data pipelines for seamless integration of models into production systems.
• Optimize models for performance, scalability, reliability, and maintainability.
• Document technical methodologies, workflows, and results clearly and comprehensively.
• Communicate complex technical concepts effectively to both technical and non-technical audiences.

Required Skills and Qualifications

• Strong proficiency in Python for data analysis, automation, and model development.
• Hands-on experience with machine learning frameworks and libraries.
• Expertise in handling JSON data structures and integrating APIs.
• Demonstrated ability to translate business requirements into deployable AI solutions.
• Excellent written and verbal communication skills with strong attention to detail.
• Experience with version control systems and collaborative development environments.
• Ability to work independently and effectively in a fast-paced remote setting.

Preferred Qualifications

• Experience deploying machine learning solutions in cloud environments.
• Familiarity with MLOps tools, CI/CD workflows, and model monitoring best practices.
• Previous experience working within distributed or international remote teams.

Contract and Engagement Details

• This role is offered on a contractual basis.
• The position is fully remote with flexible scheduling based on project requirements.
• Engagement duration may vary depending on business needs and performance.

Key skills/competency

• Python
• Machine Learning
• AI Solutions
• Data Analysis
• APIs
• Data Pipelines
• Model Development
• Cloud Environments
• MLOps
• Remote Work