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      Urgent! Machine Learning Engineer Job Opening In Bangalore – Now Hiring SAP
 
                        
                         **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 build**
  
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.
  
The development will be based on a combination of two or more of the following technologies:
  
+ SAP HANA Predictive Analytics Library.
+ SQL.
+ Python.
+ Java based microservices.
+ SAP Joule and GenAI
+ Databricks, Delta Lake
  
**What you bring**
  
+ 3 to 6 years of experience with hands-on software product development
+ 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.
  
Since the tech stack is always evolving, we are looking for a person who thrives in a changing environment
  
**Where you belong**
  
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.
  
You would be in the company of a group of creative and hard-working Engineers, Data Scientists and Product thinkers.
  
**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: Careers@sap.com.
  
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program (https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en) , 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 (https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US) .
  
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:  #LI-Hybrid 
 
                      
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Bangalore, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Bangalore, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19677 jobs in India and 181 jobs in Bangalore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SAP is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs Bangalore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SAP adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs India varies, but the pay scale is rated "Standard" in Bangalore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
 
            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at SAP, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SAP's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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