Machine Learning Engineer
SAPIndia1 day ago
Full-timeEngineering, Information Technology
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We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What You'll Do
We are looking for a developer passionate about converting novel ideas based on Machine Learning and other statistical methods, into enterprise-scale, production-ready software.
You will –
Meet your team
At SAP CXS APM, we are dedicated to the research and development of a set of applications catering to the lifecycle management of multiple products and solutions. SAP Cloud ALM is an offering for cloud-centric customers. We embed product-functionalities and services that leverage insights from Data, using various Statistical techniques including Machine Learning. A large part of the data we deal with are of the form of Time series, as we have access to the data continually collected by our monitoring infrastructures, and also other types of data such as application telemetry and so on. This offers us with the opportunity to work on a wide variety of topics such as
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.
We win with inclusion
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 world.
SAP is committed to the values of Equal Employment Opportunity and provides 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: [email protected].
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 436162 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What You'll Do
We are looking for a developer passionate about converting novel ideas based on Machine Learning and other statistical methods, into enterprise-scale, production-ready software.
You will –
- Design, implement, and optimize statistically robust, efficient, and scalable algorithms.
- Adapt the algorithms to meet system and customer requirements.
- Develop test strategies and methodologies to evaluate new or competing algorithms.
- Rationalize and document the process behind algorithm design, including goals, trade-offs made with space and time complexity, decision criteria, and reasoning behind implementation choices.
- Stay up-to-date on latest research and algorithm development methodologies.
- Collaborate with other ML Engineers, Data Scientists, Software Engineers and Product owners.
- SAP HANA Predictive Analytics Library.
- SQL.
- Python.
- Java based microservices.
- SAP Joule and GenAI
- Databricks, Delta Lake
- Excellent Analytical skills, ability to formulate multiple solutions to a given problem
- Clarity in communication, backed by fluency with both written and spoken in English.
- Demonstrated excellence in programming in at least two of the following, viz. SQL, Python, Java.
- Experience in handling large volume of data in productive environment
- Some experience in microservices, highly scalable multi-tenant architecture would add to your advantage.
- Knowledge of agile software development processes and experience with cloud development processes driven by regular code reviews, design reviews.
Meet your team
At SAP CXS APM, we are dedicated to the research and development of a set of applications catering to the lifecycle management of multiple products and solutions. SAP Cloud ALM is an offering for cloud-centric customers. We embed product-functionalities and services that leverage insights from Data, using various Statistical techniques including Machine Learning. A large part of the data we deal with are of the form of Time series, as we have access to the data continually collected by our monitoring infrastructures, and also other types of data such as application telemetry and so on. This offers us with the opportunity to work on a wide variety of topics such as
- Anomaly detection
- Predictions of potential outages and other failures
- Single and Multivariate forecasts
- Scheduling recommendations
- Intelligent correlations of alerts or events or messages
- Alert root cause detection
- Threshold-less alerting
- Intelligent automation and so on.
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.
We win with inclusion
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 world.
SAP is committed to the values of Equal Employment Opportunity and provides 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: [email protected].
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 436162 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
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