Celonis

About Celonis

Transforming inefficiencies into operational excellence

👥 1001+ employees📍 World Trade Center, New York, NY💰 $1.8b3.8
B2BEnterpriseInternal toolsProductivitySaaS

Key Highlights

  • Headquartered in World Trade Center, New York, NY
  • Raised $1.8 billion in Series D funding
  • Over 1,000 employees dedicated to process mining and execution management
  • Significant uptake across industries like supply chain and manufacturing

Celonis, headquartered at the World Trade Center in New York, NY, specializes in execution management and process mining solutions. With over 1,000 employees, the company has raised $1.8 billion in funding and serves a diverse range of industries including supply chain, manufacturing, and business i...

🎁 Benefits

Celonis offers competitive health and wellbeing benefits for employees and their families, along with Restricted Stock Options (RSUs) that allow emplo...

🌟 Culture

Celonis fosters a unique culture rooted in process mining and execution management, emphasizing data-driven decision-making. The company values innova...

Celonis

Ai Engineer Senior

CelonisMadrid

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Overview

Celonis is seeking a Senior AI Application Engineer to develop innovative AI capabilities and solutions. You'll work with Python, SQL, and machine learning techniques to enhance business processes. This role requires strong expertise in AI and data-driven decision-making.

Job Description

Who you are

You have 5+ years of experience in AI application development, with a strong focus on building scalable and effective AI solutions that enhance business processes. Your background includes hands-on experience with machine learning model deployment and monitoring, ensuring that the solutions you create are robust and reliable. You are proficient in Python and SQL, allowing you to develop and manipulate data effectively to drive insights and decision-making. You understand the importance of user experience and strive to create AI applications that are not only functional but also user-friendly. You are a collaborative team player, comfortable working at the intersection of various teams, including product management, engineering, and customer success. You are passionate about leveraging AI to unlock productivity and drive business value.

Desirable

Experience with anomaly detection and optimization techniques is a plus, as is familiarity with the Celonis Process Intelligence Platform. You are eager to stay updated with the latest advancements in AI and machine learning, continuously seeking to improve your skills and knowledge in the field.

What you'll do

In this role, you will develop generic prediction, simulation, anomaly detection, optimization, and forecasting capabilities that will be integrated into Celonis' AI applications. You will collaborate closely with Application Domain Leads to enhance their domain-specific solutions with AI capabilities. Your work will involve using the Celonis Process Intelligence Platform to create innovative AI solutions that generate actionable decision signals. You will be responsible for the end-to-end development process, from ideation to deployment, ensuring that the AI applications you build meet the needs of customers and partners. You will also monitor the performance of these applications, making necessary adjustments to optimize their effectiveness. Your contributions will play a crucial role in enriching the Celonis Process Intelligence Graph with valuable AI insights, ultimately driving better decision-making for users.

What we offer

At Celonis, you will be part of a dynamic and innovative team that is at the forefront of AI and process intelligence. We offer a collaborative work environment where your ideas and contributions are valued. You will have the opportunity to work on cutting-edge technology and make a significant impact on how businesses leverage AI to improve their processes. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to unlock productivity through AI and data-driven insights.

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