Machine Learning Engineer: BTP Core

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What we offer

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

Summary: APIs are the digital building blocks in enterprises for digitization and integration. SAP API Management, part of SAP Integration Suite, enables its customers to secure, analyze, and scale APIs in a Multi-Cloud environment – AWS, GCP, Microsoft Azure, AliCloud, SAP Data Center & in a Hybrid Deployment [Cloud & On-Premise]. It provides the required visibility & control to consume and monetize APIs with real-time analytics. SAP is evolving its API Platform with significant investments in API-led Integration, Intelligent API Ops – Machine Learning based anomaly detection and remediation, Kubernetes based Provisioning, and in best-in-class experience to explore, discover and consume the APIs via API Hub Enterprise.
The Role: In order to drive this evolution and innovation, we are looking for enthusiastic Machine Learning engineers and innovators, who are passionate about customers, data, technology and product experience, and can join us in our journey to provide the best-in-class API-led Integration Suite and help every customer to become a best-run business. 
Technologies We Work On
• Programming Languages: Python, Java, Java Script, Node JS, HTML5, Angular, React, Golang
• Machine Learning: Tensorflow/Pytorch, Deep Learning techniques like LSTM and Autoencoder, ML Libraries for Time Series Data, NLP and MLOps tools
• Analytics: SAP HANA, Elasticsearch/ELK, Grafana
• Database: Postgres, Sybase, Cassandra, and SAP HANA
• DevOps: Scripting – Shell or Python, Terraform, Ansible, Dynatrace
• PaaS & Cloud Infrastructure: Virtualization, Kubernetes, Cloud Foundry, AWS, Azure, Alicloud and GCP

Role Requirement: 
• University Degree (B.Tech or M.Tech) in Computer Science or related engineering subject.
• Basic understanding of statistical concept; solid data science knowledge; ability to collect, explore and analyze large amount of data.
• Research and implement appropriate ML algorithms and tools, create machine learning models from scratch and retraining systems.
• Collaborate closely with other applied machine learning engineers and software developer in operations tasks such as ML data management to training, deployment, and monitoring of ML models in production at scale.
• Keeping abreast of recent developments in machine learning and familiarity with architectural choices for ML systems.
• Working knowledge of MLOps practices and tools is added advantage.
• Demonstrate curiosity and innovation in enabling future solutions in this space.
• 3-10 years of relevant experience in Machine Learning Engineering and Software Development

#DataScienceT2

We are SAP

SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.

Our inclusion promise

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.

SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com.