Top Machine Learning Jobs in Warsaw

Lead data science projects from ideation to deployment, provide strategic advice on AI, mentor junior data scientists, and evaluate AI tools.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The GenAI Ops Engineer manages AI model operations, ensuring their deployment, optimization, and scalability, while collaborating across teams to innovate generative AI solutions.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Data Product Manager leads product development for merchant insights, defining strategy, managing backlogs, and ensuring product delivery in a fintech environment.

The Product Manager will integrate AI and automation into operations, driving product strategy, collaboration, and market advancements in trading and risk management.

The Data Scientist will design advanced algorithms for generative AI models, analyze large datasets, and collaborate on AI advancements to enhance business processes.

Drive Visa's Responsible Data Use program by assessing AI and data initiatives, ensuring compliance, and shaping data governance policies. Collaborate cross-functionally, conduct detailed reviews, and communicate progress while leading training and promoting responsible data practices.

As a Senior MLOps Engineer, you will architect and implement MLOps pipelines and tools to enhance fraud detection and regulatory compliance.

Manage existing client relationships and seek new business opportunities in the automotive vertical for Central & Eastern Europe, focusing on account growth and customer success.

The Director of Data Services will lead the data lakehouse strategy, ensuring data quality and governance for product offerings, partnering across teams to enhance data accessibility and ML functionalities.

Lead design and development of products from vehicle telematics data, collaborating across teams to enhance customer experience and maintain core platforms.

The Financial Analyst & Controller manages financial operations for Hitachi's Global Marketing & Sales, ensuring financial accuracy, compliance, process improvement, and strategic oversight.

The Financial Analyst & Controller manages financials for projects, ensures compliance, drives process improvement through technology, and provides strategic insights to the Global Marketing & Sales team at Hitachi.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

Oversee and manage the development and deployment of AI solutions, focusing on LLMs and AWS Cloud services while leading a team of engineers.

Lead and grow engineering teams, drive solutions development, oversee integrations with CRM partners, manage performance, and set ambitious goals.

Join a dynamic Big Data team as a Spark Developer in banking, focusing on large-scale data processing and machine learning. Collaborate with analytics and data science experts.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The Senior IT Business Analyst will implement AI-based solutions to enhance efficiency. Responsibilities include analyzing processes, documenting requirements, collaborating with teams, and supporting R&D initiatives.