AI Application Specialist
– Full-time | Senior level | Chennai, Tamil Nadu, India | Hybrid Work Culture
Our Company
Rheo is an industrial AI platform that optimizes operations using sensors and machine learning. By combining AI-driven insights with human expertise, Rheo enhances productivity, minimizes downtime, and improves efficiency. It automates monitoring, identifies risks, and provides actionable guidance, ensuring transparency and collaboration across all levels of manufacturing.
The Opportunity
As an AI Application Specialist, you’ll drive innovation by preparing high-quality datasets for cutting-edge AI models. Your expertise in data annotation and quality assurance will ensure the accuracy and reliability of AI solutions. Collaborate with data scientists and developers to solve complex problems and deliver impactful results.
This role offers a chance to grow professionally, stay updated on AI advancements, and contribute to groundbreaking projects. If you’re passionate about AI, thrive in a collaborative environment, and want to shape the future of technology, this is your opportunity to make a meaningful impact.
REQUIREMENTS
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Proven experience in data annotation, with a focus on supporting AI and machine learning projects.
- Ability to work collaboratively in a team environment.
- Effective communication skills with the ability to convey technical concepts to non-technical stakeholders.
WHAT YOU WILL DO
1. Data Annotation Expertise:
- Utilize advanced data annotation techniques to prepare high-quality labeled datasets for training machine learning and AI models. Ensure accuracy and consistency in data annotations to enhance model performance. .
2. Quality Assurance:
- Conduct thorough testing and validation of AI applications to identify and address any issues related to data annotations and model performance. Implement quality assurance measures to ensure the reliability and effectiveness of AI solutions.
3. Collaboration and Communication:
- Work closely with data scientists, software developers, and other stakeholders to understand project requirements and goals. Clearly communicate technical concepts and findings to both technical and non-technical team members.
4. Continuous Learning:
- Stay updated on the latest advancements in AI and machine learning technologies. Actively participate in professional development activities to enhance your skills and knowledge.