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AI-Powered Job Summary
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- Help design, build and continuously improve the clients online platform
- Research, suggest and implement new technology solutions following best practices/standards
- Take responsibility for the resiliency and availability of different products
- Be a productive member of the team.
- 12+ years of overall experience in the IT industry, with 4+ years of relevant experience in AI/ML
- Proven expertise in designing end-to-end AI systems, including data pipelines, model deployment, and system integration to ensure seamless operations and data flow
- Focus on building scalable, reliable, and high-performance AI solutions
- Hands-on experience in building, training, and optimizing machine learning models, including algorithm selection, hyperparameter tuning, and performance optimization
- Strong understanding of evaluating and validating model performance using industry-standard metrics and techniques to ensure quality and business relevance
- Ownership of the entire ML lifecycle, from data exploration and feature engineering to model deployment and operationalization
- Work collaboratively with cross-functional teams including data engineers, data scientists, product managers, and business stakeholders to deliver and maintain AI-driven solutions
- Ability to design, explain, and implement ML models that integrate with business processes and systems
- Responsible for supporting end-users and ensuring the usability and functionality of delivered solutions
- Collaborate with MLOps engineers for model deployment and operationalization through batch processing or real-time APIs
- Ability to integrate ML models with existing systems or expose them via consumer-facing interfaces
- Strong familiarity with Microsoft Azure, including hands-on experience in Azure Machine Learning Studio.
- A challenging, innovating environment.
- Opportunities for learning where needed.
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