About Veraxion :

Veraxion is a global technology and consulting firm focused on Data & AI, Cloud, Enterprise Architecture, Digital Engineering and Managed Services. The company partners with enterprises across industries to modernize technology platforms, build scalable solutions and leverage emerging technologies to drive measurable business outcomes.

Role Overview :

We are looking for a hands-on AI Engineer with strong experience in building and implementing AI/ML solutions to solve real-world business problems. The ideal candidate should have practical experience developing AI/ML applications, with a strong preference for candidates who have deployed, maintained, or supported solutions in production environments.

Candidates with experience in AWS, GCP, or Azure are welcome.

Key Responsibilities :

- Design, develop, and implement AI/ML solutions for real-world business use cases.

- Build and integrate AI/ML models into applications and business workflows.

- Develop and validate proof-of-concept (POC) solutions and help transition successful implementations into production.

- Deploy, maintain, and support AI/ML solutions in production environments.

- Collaborate with cross-functional teams to identify business requirements and deliver effective AI-driven solutions.

- Monitor and troubleshoot deployed solutions to ensure performance, reliability, and scalability.

- Continuously explore and apply relevant AI/ML techniques to improve solution quality and efficiency.

Required Skills and Qualifications :

- 3 - 6 years of relevant experience in AI Engineering, Machine Learning, or AI/ML implementation.

- Required skill in Python.

- Strong hands-on experience in developing and implementing AI/ML solutions.

- Experience working on real-world AI/ML use cases.

- Exposure to at least one cloud platform : AWS, GCP, or Microsoft Azure.

- Understanding of the AI/ML solution development lifecycle, including development, testing, deployment, and maintenance.

- Ability to translate business requirements into practical AI/ML solutions.

Preferred Qualifications :

- Experience building, deploying, or supporting AI/ML solutions in production environments.

- Experience with end-to-end AI/ML implementation, from development and validation to deployment and monitoring.

- Experience transitioning POCs into production-ready solutions.

- Practical experience solving business problems using AI/ML technologies.