Software Engineer - Machine Learning

Das ist der Job

Proven experience building productive software using the Python ecosystem, preferably with exposure to ML applications.

Darum lohnt es sich

Strong communication and collaboration skills Identify with the Celonis value of customer first, passionate about solving real world customer problems with a focus on finding the right solution regardless of the nature of the solution Passionate about developing scalable and efficient AI/ML solutions Passionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanisms What Celonis can offer you: The unique opportunity to work with industry-leading process mining technology Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more) Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more) Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more) A global and growing team of Celonauts from diverse backgrounds to learn from and work with An open-minded culture with innovative, autonomous teams Business Resource Groups to help you feel connected, valued and seen (Black@Celonis, Women@Celonis, Parents@Celonis, Pride@Celonis, Resilience@Celonis, and more) A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future #J-18808-Ljbffr The Role As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches.

You may interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high quality AI/ML features and solutions for our customers.

You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers.

These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.

The work you’ll do Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related Design and implement scalable and robust data collection mechanisms Design and build APIs and infrastructure to serve data at scale and with low latency Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers Improve best practices in software development and DevOps The qualifications you need Master’s degree, or equivalent practical experience (in Computer Science or related fields), with 2+ years of experience in a similar role.