AI Engineer at KINESSO Poland

Posted on (a month ago)

Warsaw, Poland
Hybrid

Industry: Advertising Services

Job Type: Full-time

Experience Level: Mid-Senior Level

Job Description

Kinesso brings together the best minds in data, technology and media activation to deliver seamless data-driven marketing solutions. As a technology-enabler, Kinesso powers marketing systems through a proprietary suite of applications that integrate ad tech and martech. Kinesso’s application framework spans audience, planning, and activation, delivering insights and business outcomes for leading global brands. As an AI Engineer, your core objective is to lead the charge in driving transformative AI solutions for our clients and internal teams within the media domain. Your focus will be on creating cutting-edge AI products that optimize media, automate media workflows, enable chat-based information retrieval, implement generative AI techniques, and more. In this dynamic role, you will play a key part in shaping the future of AI-driven solutions in the media landscape.

Responsibilities

  • Manage and optimize AI infrastructure to ensure seamless and efficient operations.
  • Utilize cloud technology services, such as AWS and GCP, to support AI development and deployment.
  • Engage in prompt engineering, ensuring timely responses and solutions to AI-related challenges.
  • Develop and maintain robust AI pipelines, facilitating the flow of data for various media applications.
  • Collaborate with cross-functional teams to understand AI requirements and implement effective solutions.
  • Stay informed about the latest advancements in AI technology to contribute to ongoing innovation.
  • Troubleshoot and resolve AI system issues, ensuring continuous functionality.
  • Contribute to the design and implementation of AI algorithms and models.
  • Collaborate with data engineers and software developers to integrate AI solutions into applications.
  • Ensure the security and integrity of AI systems and data.

Requirements

  • Technical Proficiency: Strong hands-on skills in Python for AI development and scripting; good knowledge of generative AI and LLM (Google LLM).
  • AI Data Engineering Tooling: Experience with AI data engineering tools, including vector databases, for optimized data storage and retrieval.
  • Cloud Technology: Proficient in using cloud technology services, particularly AWS and GCP, for AI development.
  • Problem-Solving: Proven ability to independently identify and solve complex AI engineering challenges.
  • Media Platform Knowledge: Familiarity with domain-specific media platforms and an understanding of media-related challenges as a plus.
  • Collaboration: Ability to work effectively in cross-functional teams and contribute to a collaborative work environment.
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