Data and AI Technology Champion

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Summary

Develops and manages data pipelines for AI and ML models, ensuring data quality and reliability for model training and deployment.

Job Description:

1.) DataOps, MLOps, and AIOps
- Design, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
- Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
- Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
- Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
2.) Performance Optimization & Security
- Monitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
- Implement data governance policies, security best practices, and compliance standards.
- Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
3.) Data Engineering & System Integration
- Develop and manage real-time and batch data pipelines to support AI-driven applications.
- Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
- Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
4.) AI/ML Model Deployment & Optimization
- Deploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
- Automate model retraining, performance monitoring, and drift detection for continuous improvement.
- Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
- Continuous Learning & Innovation
- Stay updated on AI/ML advancements, cloud technologies, and big data innovations.
Contribute to proof-of-concept projects, AI process improvements, and best practices.
Participate in internal research, knowledge-sharing, and AI governance discussions.
Cross-Functional Collaboration & Business Understanding
Work with business teams to ensure AI models align with organizational objectives.
Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.

Qualification:

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!