Data Engineer and AI Specialist

At Sithafal Technologies, we create a work environment that fosters innovation, collaboration, and growth. Our passionate team is driven by a shared mission: transforming IT challenges into secure, scalable, and strategic solutions.

Heres why you should join us:

• Innovative Culture: We value creativity and welcome new ideas that drive our success.

• Growth Opportunities: We provide continuous learning and challenging projects to advance your career.

• Collaborative Environment: We foster teamwork where every voice is heard and valued.

• Comprehensive Benefits: Enjoy competitive salaries, health benefits, and work-life balance.

• Inclusive Workplace: We celebrate diversity and create an environment where everyone thrives.

• Commitment to Excellence: We exceed expectations with high standards and dedication.

Job Responsibilities:

• Integration of AI Chatbot system.
• Updating knowledge articles within the AI and ability to train the solution.
• Capability to employ a variety of qualitative and quantitative analysis techniques to continually improve the user experience.
• Consistent collaboration with cross-functional teams and stakeholders.
• Ability to improve the scalability & performance of machine learning systems that handle high loads.
• Ability to analyze and interpret raw data.
• Developing and maintaining datasets.
• Improving data quality and efficiency.
• Prior hands-on experience working with Druid AI platform.
• Previous experience maintaining and enhancing Druid Artificial Intelligence (AI) Chatbot capability within an application.

Requirements:

• Bachelor s Degree in an Information Technology or related program.
• Previous professional experience as a data engineer or in a similar role.
• Prior hands-on experience with Druid AI platform.
• Prior work experience in designing and building complex machine learning systems for natural language processing applications.
• Advanced familiarity with Kubernetes (AKS) and NGINX ingress controller for Kubernetes.
• Advanced knowledge in Python or another programming language and at least one machine learning framework.
• Prior experience in developing training materials and providing training to the user groups.
• Technical expertise with data models, data mining, and segmentation techniques

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