drjobs Senior Full Stack Developer (Python/Java/Go, Machine Learning/Knowledge Graphs) - SAP Labs Singapore

Senior Full Stack Developer (Python/Java/Go, Machine Learning/Knowledge Graphs) - SAP Labs Singapore

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Job Location drjobs

Singapore - Singapore

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We help the world run better

At SAP we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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 choosefrom.

Meet your team

AI Business Services provides strategic machine learning services to infuse intelligence into SAP solutions. Across various focus clusters and building on strong teams we pioneer game-changing solutions in close collaboration with customers & partners in industry and research and other SAP units. By exploring unconventional ideas and developing inspiring proofs of concept we push state-of-the-art computer science and enterprise machine learning.

As a Senior Developer of AI Business Services you will have the unique opportunity to be part of the machine learning team in Singapore. This dynamic fun and growth-oriented environment provides a vast potential to learn and work on emerging technologies such as Machine Learning AI Knowledge Graphs Cloud and Big Data. You will be working together with experienced software engineers and machine learning experts to deliver state-of-the-art intelligent services in our cloud ecosystem.

What youll do

As part of the Machine Learning and Knowledge Graph team you will work alongside a group of dedicated expertsincluding researchers developers Knowledge Graph Engineers DevOps engineers and architectsto build cutting-edge machine learning and knowledge graph pipelines for a diverse set of use cases. Your success will be measured by your ability to deliver scalable production-ready solutions that match or exceed the performance of top-tier research prototypes.

Your work will involve pushing the frontiers of what is possible in the integration of machine learning with knowledge graphs to create innovative intelligent systems. You will explore evaluate and implement the latest approaches in distributed systems cloud-native technologies and semantic reasoning to power data-rich applications.

As a Senior Engineer you are expected to take full technical ownership of team deliverables with responsibility for architectural design code quality and production readiness. A key part of your role will be to lead the development of Knowledge Graphrelated functional services. You will also contribute to the design and implementation of intelligent agents that operate over large-scale graph and tabular data.

In addition to your technical contributions you will mentor junior developers and guide best practices in coding testing deployment and performance tuning. You will lead by example in driving engineering excellence fostering a culture of continuous improvement automation and cloud operation maturity.

You understand the business processes that generate and consume data allowing you to select the most appropriate technologies and evaluate their impact both technically and strategically. You are experienced in

handling multi-terabyte datasets in scale-up and scale-out environments and are capable of translating complex requirements into performant maintainable and scalable solutions.

You will be responsible for:

  • Designing and building production-grade Knowledge Graph services and microservices in Python
  • Developing intelligent agents that interact with and learn from Knowledge Graphs and other structured data sources
  • Working with Kubernetes and cloud infrastructure to ensure reliable and scalable deployment of services
  • Exploring and integrating emerging tools and frameworks in ML semantic technologies and distributed systems
  • Producing high-quality maintainable code with an emphasis on modularity testing and performance
  • Visualizing and communicating results and insights effectively to both technical and non-technical audiences
  • Collaborating closely with product owners designers and cross-functional teams to understand business requirements and deliver impactful solutions
  • Mentoring junior engineers performing code reviews and contributing to a high-performance team culture
  • Solving complex integration and performance challenges across systems often working across time zones in a global team set

You should be comfortable immersing yourself in new topics quickly working independently and collaboratively and thriving in an environment where innovation and initiative are highly valued.

ROLE REQUIREMENTS

What you bring

  • 8-12 years hands-on experience in related fields
  • Bachelors or Masters degree in Computer Science Engineering or equivalent educatio
  • Knowledge of Machine Learning fundamentals
  • A solid foundation in computer science with strong competencies in algorithms data structures object-oriented programming design patterns multi-threaded programming and software design principles
  • Proficiency in at least two of the server/client-side programming languages such as PythonGo
  • Strong computer science fundamentals (algorithms data structures design patterns) and programming skills (Python etc). Familiar with best practices for reusability and extensibility
  • Proven ability to understand and transform prototypes into productive machine learning systems
  • Experience with cloud-based application development using Docker & Kubernetes
  • Experience in building deploying & managing CI/CD pipelines through Jenkins across multiple hyperscaler environments such as AWS GCP or Azure
  • Experience in secure software development life cycle
  • Thorough understanding of proven Machine Learning techniques and frameworks (Tensorflow PyTorch scikit-learn)
  • Hands-On experience with version control tools such as Github Bitbucket
  • Experience in RESTful implementation micro-service architectures and container patterns
  • In-Depth understanding of System Design & Software Architecture
  • Knowledge on open-source cloud frameworks such as OpenStack Cloudfoundry etc.
  • Experience with common software development methodologies (e.g. agile development)
  • Able to build strong interpersonal relationships with internal and external stakeholders
  • Drive engagement across Architecture Implementation Testing and Delivery of the Product
  • Excellent written and communication skills in the English language

Preferred

  • Knowledge Graph fundamentals
  • An understanding of how to apply Machine Learning libraries to train and serve a ML model
  • Experience working on data ingestion & big data technologies
  • Hands-on experience in Bash Scripting and operational knowledge of Linux distributions such as SUSE Ubuntu

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 SAPyou can bring out your best.

We win with inclusion

SAPs 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:


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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity age gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability.


Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 423164 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid.


Required Experience:

Senior IC

Employment Type

Full-Time

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