Data Scientist
TLDR
Lead the design and implementation of innovative AI solutions, ensuring alignment with organizational goals and integrating complex AI systems effectively.
Company Description
Syntasa empowers Data and Marketing teams with cutting-edge Data and AI capabilities to generate actionable insights and make informed decisions. Leveraging its Enterprise-level Agentic Marketing platform, the company enables intelligent decision-making through goal-oriented AI agents. With a cloud-agnostic, open architecture, Syntasa ensures secure and transparent AI integration within private cloud environments. Their innovative approach supports organizations in harnessing the full potential of autonomous AI for improved operations and performance.
Role Description
Syntasa is seeking a full-time, remote Data Scientist to lead and oversee the design and implementation of high-quality AI solutions. The role involves defining architectural frameworks, integrating AI systems with existing infrastructures, and designing robust software development processes. The AI Quality Architect will participate in cross-functional projects, ensuring alignment with organizational goals, and providing support for the implementation of innovative AI architectures.
Qualifications
- Strong skills in Architecture, Architectural Design, and creating scalable frameworks
- Expertise in Software Development and integrating complex AI systems
- Experience in System Integration to streamline AI functionalities effectively
- Proficiency in managing Project Lifecycles and delivering solutions on time
- Excellent problem-solving, critical thinking, and technical leadership skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience in AI and machine learning environments is highly desirable
- Familiarity with cloud-based systems and a cloud-agnostic approach is a plus
Syntasa UK builds advanced data engineering solutions that focus on designing scalable data pipelines and optimizing cloud workloads. We cater to organizations looking to enhance their data capabilities and performance, leveraging expertise in high-performance cloud architecture to deliver robust solutions.