
About Celonis
Transforming inefficiencies into operational excellence
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...
Skills & Technologies
Overview
Celonis is hiring a Machine Learning Engineer to design and develop AI/ML product features and solutions. You'll work with technologies like Python and TensorFlow to empower enterprises in making intelligent business decisions. This role requires experience in machine learning and software engineering.
Job Description
Who you are
You have a solid background in software engineering with a focus on machine learning — you understand the intricacies of designing and developing scalable AI/ML solutions that drive business value. Your experience with Python is extensive, and you are comfortable using libraries such as TensorFlow and Keras to build and deploy machine learning models. You thrive in collaborative environments, working closely with cross-functional teams to translate complex requirements into effective technical solutions. You are passionate about leveraging AI to enhance productivity and operational excellence, and you are eager to contribute to innovative projects that push the boundaries of technology.
Desirable
Experience with cloud platforms like AWS or GCP is a plus, as is familiarity with data engineering concepts. You may have worked on projects that involve data pipelines or have experience with tools that facilitate machine learning operations (MLOps). A background in process intelligence or SaaS products would be beneficial, as it aligns with Celonis' mission to optimize business processes through intelligent solutions.
What you'll do
As a Machine Learning Engineer at Celonis, you will be responsible for designing and implementing advanced AI/ML features that enhance our Execution Management System. You will collaborate with solution engineers and product managers to identify customer needs and develop tailored solutions that leverage machine learning techniques. Your role will involve building robust infrastructure to support the deployment of machine learning models, ensuring they are scalable and maintainable. You will also engage in code reviews and contribute to best practices in software development, fostering a culture of quality and innovation within the team.
You will have the opportunity to work on cutting-edge AI technologies, contributing to the long-term goals of establishing competitive advantages for Celonis. Your insights and expertise will help shape the direction of our AI initiatives, and you will play a key role in driving the success of our products in the market. You will also be involved in continuous learning and improvement, staying updated with the latest advancements in machine learning and AI.
What we offer
At Celonis, we believe in empowering our employees to make a significant impact. You will be part of a dynamic team that values collaboration and innovation, working in an environment that encourages professional growth. We offer competitive compensation and benefits, along with opportunities for career advancement within a rapidly growing company. Our culture promotes diversity and inclusion, and we are committed to creating a workplace where everyone can thrive. Join us in our mission to unlock productivity through intelligent business processes and be part of a team that is shaping the future of process intelligence.
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