Top Artificial Intelligence Jobs in Warsaw

As an AI Engineering Lead, you will drive AI operational strategies, manage teams, and ensure the integration of AI technologies into processes.

As an AI Operations Engineer, you will design and maintain AI pipelines, ensure deployment of AI models, and mentor junior engineers.

As a Senior AI Operations Engineer, you will design, implement, and optimize AI pipelines, ensuring smooth model deployment and team mentorship.

The role involves providing solutions consulting, driving business development, and supporting proposal development. Candidates must leverage Honeywell's product offerings, engage with customers, and analyze market trends while fostering strong relationships.

Develop and enhance a platform for supply chain transparency using advanced technologies while ensuring trust and authenticity in global supply chains.

The Manager, Submission Management Clinical Trials oversees regulatory activities for clinical trial submissions, collaborating with stakeholders to ensure compliance and drive continuous improvement initiatives.

Manage end-to-end regulatory activities for submissions, ensuring compliance with global health authorities, and drive continuous improvement in processes.

Manage regulatory activities for clinical trial submissions, ensuring compliance with global health authority standards. Collaborate with stakeholders to prepare submission documents, track progress, and communicate regulatory changes.

The position involves managing regulatory submissions, collaborating on eCTD strategies, ensuring timely progress on submissions, and continuous improvement of submission processes.

The Data Engineer will design and maintain data pipelines and architectures, ensuring reliable data for decision-making through collaboration with data analysts and scientists.

The Machine Learning Engineer will design, build, and deploy scalable ML solutions, collaborating with teams to operationalize models and ensure their performance and reliability.

Design and develop AI applications, deploy machine learning models, integrate AI into business systems, and work with cross-functional teams to create AI-driven solutions.

The Senior Director of AI Product & Engineering leads AI engineering teams to design, build, and scale AI solutions, ensuring quality and enterprise standards.

Design and enhance the user experience for an LLM-based productivity tool, collaborating with cross-functional teams and utilizing user feedback.

The ORR Technology Lead Analyst executes testing activities for risk assessments, collaborates with business lines, identifies control weaknesses, and prepares documentation on compliance and operational risks.

As DICE Innovation Lead, drive digital transformation by identifying and developing technology opportunities, collaborating with stakeholders, and executing innovative solutions.

The role involves overseeing multiple projects within the EPMO, driving project delivery, coaching leaders, and integrating AI solutions while ensuring alignment with enterprise objectives.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Lead development of compliance risk metrics and AI-driven analytics to monitor field activities, communications, and payments. Translate monitoring needs into actionable insights, deliver leadership reporting, manage global projects, and collaborate with Compliance and IT to improve compliance monitoring and data-driven decision making.

As an Account Executive, you'll manage the full sales cycle for SMB and mid-market firms, driving sales with tailor-made AI solutions, meeting ARR targets, and collaborating with various teams to refine messaging and onboarding processes.

The AI Principal Software Engineer will lead architectural design, integrate Generative AI models into applications, and manage back-end systems while mentoring teams and collaborating with stakeholders.

As an AI Innovator, you will integrate agentic AI compute into Cere's distributed data architecture, focusing on data pipelines and AI demos while collaborating with engineers for data onboarding.

Develop and optimize GPU and CPU accelerated data processing software libraries, focusing on performance tuning and algorithm development while leading a team.

Lead development of an AI Copilot tool for sales, translating complex AI data into actionable insights, ensuring user engagement and impact.

Design and develop AI agents using machine learning to automate complex tasks. Lead systems analysis, ensure high performance, and collaborate with teams.