ABIS is looking for a skilled and innovative Data and AI Architect - SMP to join our team and lead the design and implementation of data-driven solutions. In this role, you will be responsible for creating scalable and efficient data architectures that support AI and machine learning initiatives. You will collaborate with cross-functional teams to define architecture standards, data governance policies, and best practices for data management. Your expertise in data modeling, cloud technologies, and AI frameworks will be essential in shaping our strategy to leverage data as a key asset for business decision-making and operational efficiency. If you are passionate about harnessing the power of data and artificial intelligence to drive business transformation, we invite you to join us at ABIS.
Key Responsibilities
- Design and implement robust data architectures that support AI and analytics initiatives
- Collaborate with data engineers, data scientists, and business stakeholders to identify data needs and create solutions that deliver business value
- Define data governance and management best practices to ensure data quality, security, and compliance
- Evaluate and select appropriate technologies and tools for data processing and AI model development
- Lead the integration of data from diverse sources into a unified data platform
- Develop and maintain documentation related to data architecture and design standards
- Stay updated on industry trends and advancements in data technologies and AI
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field
- +15 Years Experince.
- Proven experience in data architecture and design, particularly in AI and machine learning contexts
- Strong knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and data management tools
- Experience with data modeling, ETL processes, and data warehousing solutions
- Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and machine learning algorithms
- Excellent analytical and problem-solving skills, with a focus on delivering business value
- Strong communication skills to effectively collaborate with technical and non-technical stakeholders
