Top Machine Learning Jobs in Warsaw

Seeking a highly experienced Business Lead to develop and execute a strategic vision for leveraging Customer Data to enhance user engagement, advertising monetization, and user valuation. Responsibilities include strategic planning, business context mastery, data governance, data strategy, and execution.

As an Enterprise Sales Representative at SailPoint, you will focus on selling the IGA Solution Suite to large organizations, navigate multinational accounts, and engage with senior decision makers to negotiate high value contracts. Success involves building relationships, understanding client needs, and leveraging channel partners throughout a lengthy sales cycle using the Challenger sales methodology.

The Solution Architect for Digital Transformation will design and implement technology solutions for banking transformation, collaborating with stakeholders to align architectures with strategic and regulatory goals. Responsibilities include high-level design reviews, architecture recommendations, and ensuring solutions meet industry standards while driving adoption of modern practices like DevOps and microservices.

As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.

The Product Manager will lead product discovery and roadmap creation for ML-based solutions, collaborate with business stakeholders, and support the implementation of AI to address business challenges. Responsibilities include managing product backlogs, defining success metrics, and facilitating communication across teams to align objectives.

As a Senior Product Manager, you will drive the strategy and execution of Document AI at Snowflake. Responsibilities include defining the product roadmap, collaborating with engineers and data scientists, conducting market research, and guiding product development from conception to launch, all while ensuring alignment with customer needs and the company's strategic goals.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The Solutions Engineer will lead technical sales processes, design customer solutions using Cloudera technologies, and build relationships to ensure client success. Responsibilities include conducting demonstrations, collaborating with account managers, and advocating for customer needs to product management.