About the role
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.
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.
Requirements:
- 3-6 years of relevant experience in AI Engineering, Machine Learning, or AI/ML implementation.
- 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.