AI/ML Engineer
4 days ago
Centon is seeking a highly skilled AI/ML engineer to join our team. As an AI/ML engineer, you will be responsible for developing and maintaining AI/ML models and algorithms to improve existing systems and create new features.
You will implement and optimize machine learning workflows, including data processing, model training, evaluation, and deployment. Your collaboration with cross-functional teams will ensure that AI/ML solutions are integrated into our products seamlessly.
We are looking for someone who stays up-to-date with the latest advancements in AI/ML technologies and incorporates them into projects where applicable. Performance implications of design and implementation choices should be keenly aware of, and you should act as a champion on the team for reaching exceptional performance.
The ideal candidate will have two years' plus experience building cloud services, distributed systems, big data systems. A strong passion for AI/ML and a deep understanding of its principles are essential. Experience with machine learning frameworks such as PyTorch, TensorFlow or scikit-learn is required.
Around here, we value proficiency in implementing RAG techniques, understanding data privacy and security best practices in AI/ML applications, and proficiency in distributed computing principles. Hands-on experience in utilizing compute at scale platform, tools and languages is also necessary.
We use AWS architecture extensively, so familiarity with Processing, In-Memory Computing, Lambda Architecture, Bedrock, Sagemaker is a plus. Experience utilizing PostgreSQL, Vector and In-memory databases is also beneficial. Great communication and collaboration skills are a must.
Bachelor's Degree in Computer Sciences (or related technical degree with industry experience) is the minimum educational requirement. Responsibility for supporting the system lifecycle & roadmap for the AWS modules for Digital Contact Centre is expected.
- Schedule test cases based on user stories, raise comprehensive bugs when tests fail, develop new or enhance current modules by collaborating with back-end programmers and UI designers.
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- Liaise and coordinate with management and partners, manage Secretariat as Office Manager.
- Support sales team by contacting prospective clients via telephone and email.
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