Ai/ml Applied Data Scientist - Generative Ai jobs at Sap in Australia, Melbourne

Purpose and objectives

As an AI Developer, you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.

Expectations and tasks

Your tasks include:

• Push the frontiers of what is possible in artificial intelligence to create new solutions.

• Explore, understand, and implement most recent technologies and approaches for cloud applications and data pipelines.

• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments

• Strive for automation and cloud operation readiness.

• Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance.

• Supports machine learning research/project teams with all aspects around data.

• Builds scalable and re-usable data processing pipelines.

• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.

• Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts.

• Performing quality assurance tasks and solving complex integration issues.

• Ability to work in global teams with different time zones.

• Immerse yourself quickly into new topics, terminology, and development tasks.

Educational and experience requirements

Required

• Degree in Computer Science or related field

• 4-7 years of working experience as software developer, preferrable in AI focused cloud application development.

• A solid foundation in computer science, with strong competencies in algorithms, data structures, objects-oriented programming, design patterns, multi-threaded programming, and software design principles

• Hands-on knowledge in programming languages such as Python, Java, Node.js, Go, C++ etc.

• Hands-on knowledge of popular application frameworks/libraries such as Flask, Spring, Play, React etc.

• Fundamental knowledge of container & orchestration technologies like Docker, Kubernetes etc.

• Familiar with Agile/Scrum methodologies

• Strong desire to overcome obstacles and make your work benefit SAP's customers.

• Excellent written and communication skills in English language.

• Experience with cloud-based application development using platforms such as SAP’s Business Technology Platform, AWS, Azure & Google Cloud Platform is a plus.

Optional

• Hands-on experience in Shell Scripting, PowerShell

• Exposure to Big Data technologies such as Hadoop, Spark and Kafka

• Excellent web UI programming skills (JavaScript, HTML5, CSS)

• Experience with JavaScript frameworks (e.g., D3.js, jQuery, RequireJS, KnockoutJS, AngularJS, NodeJS etc.)

• Knowledge of UI Design Patterns and Interactions

• Operational knowledge of Linux distributions such as Red Hat, Ubuntu, CentOS, CoreOS

• Exposure to deployment and container orchestration technologies such as Docker, Kubernetes, Puppet, Chef, Ansible

• Knowledge of Machine Learning fundamentals

We win with inclusion

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

What You’ll Do

• Imagine novel applications and capabilities to advance LLM-driven Code Intelligence, unconstrained by current limitations.
• Rapidly prototype concepts and iterate based on experimental results.
• Design and implement the necessary software infrastructure to support ambitious LLM experiments.
• Effectively communicate complex ideas in a clear and compelling way to inspire and influence partner teams.
• Demonstrate a strong understanding of LLM architectures, training, deployment, and associated engineering challenges.
  

What You Bring

• Educational Background: PhD or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Experience: 5+ years of experience in data science and engineering, with a proven record of leading projects to success.
• Technical Proficiency: Expertise in deep learning, large language models, and significant experience with deep learning frameworks such as PyTorch and Tensorflow.
• Demonstrated expertise in one of Java, C# or similar programming languages.
• Communication: Exceptional verbal and written communication skills.
• Leadership: Demonstrated ability to lead and mentor teams and drive strategic initiatives.

What you'll do

• Guide customers and drive discussions with them to build AI/ML/Generative AI scenarios and finalise expected business outcomes.

• Drive requirement gathering discussions with customer’s business owners and propose relevant AI/ML/Generative AI use cases to solve business problems.

• Create system architecture for complex and scalable AI/ML solutions.

• Develop and put the AI/ML/Generative AI models in production to serve multiple enterprise customers

• Lead/contribute to developing end-to-end AI/ML/Generative AI solutions, not restrictive to only algorithms.

• Drive AI/ML/Generative AI initiatives leveraging SAP AI eco system.

• Lead/work closely with other data scientists/experts and teams to deliver solutions for customers’ AI adoption journey.

SKILLS REQUIRED:

• 10+ years of relevant experience in AI/ML/Generative AI field.

• Willingness to interact with customers and passionate to solve business problems.

• Strong focus on delivering business values to customers.

• Experience in implementing scalable AI/ML solutions.

• Generative AI expertise

• Experience/good understanding of Generative AI Concepts and implementations.

• Experience in Generative AI technology platform offerings, frameworks(Open source Langchain/LlamaIndex, other 3rd party platforms) and tools.

• Good Experience in Prompt Engineering techniques.

• Hands-on experience in vector databases, and advanced RAG.

• Understanding of Knowledge Graphs is a plus.

• Strong inclination to learn and experiment with new concepts and technologies in Generative AI space.

• Proficiency in ML technologies/libraries like Scikit-learn, Pytorch, Tensorflow etc.

• Proficient in one or more programming languages (Python OOP is must)

• Very strong practical hand-on NLP technology usage knowhow (apply in business context)

• Experience in developing and productizing scalable AI solutions.

• Strong data exploration, cleansing, transformation, feature engineering skills

• Experience in MLOps/LLMOps on any Cloud platform.

• Familiarity with code management tools like Git, GitHub etc.

• Familiarity with cloud computing and cloud native technologies (e.g. Docker, K8S etc.)

• Communication skills with the ability to communicate appropriately with customers in various situations.

• Ability to bring forth new ideas and drive them to execution.

• Knowledge of SAP products and solutions, e.g. S4/HANA, SAP BTP, SuccessFactors, Ariba etc.

B.E./B.Tech./M.Tech./MCA in Computer Science or Master’s in data Analytics/Data Science or equivalent degree.

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Job Segment:Cloud, ERP, Computer Science, Open Source, Consulting, Technology

What you’ll do/ Key Responsibilities

• Sales Strategy and Execution
  • Develop and execute comprehensive sales strategies to promote SAP Business Data Cloud solutions.
  • Identify and pursue new business opportunities to achieve or exceed sales targets.
  • Conduct market research to stay informed about industry trends and customer needs.
• Customer Engagement and Relationship Management
  • Build and maintain strong relationships with key stakeholders and decision-makers within client organizations.
  • Engage in consultative conversations to understand customer challenges and propose tailored SAP Business Data solutions.
  • Provide exceptional customer service to ensure client satisfaction and foster long-term partnerships.
• Product Expertise and Demonstration
  • Serve as a product expert on SAP Business Data Cloud offerings, including AI capabilities.
  • Deliver compelling presentations and demonstrations to showcase the benefits of SAP's data solutions.
  • Address technical objections and guide customers through solution implementation.
• Collaboration and Resource Management
  • Work closely with internal stakeholders to orchestrate resources that support customer engagements and accelerate deal closure.
  • Strong alignment with the Account teams, Customer Success Partners, & Partner Business manager to drive successful adoption and consumption of SAP Business Data Cloud technologies

What you bring/ Qualifications

• Required:
  • Bachelor's degree in Business, Information Technology, or a related field.
  • At least 3 years of experience in technology sales or cloud solutions.
  • Proven track record of achieving or exceeding sales quotas.
  • Excellent communication, negotiation, and presentation skills.
  • Ability to articulate complex technical concepts clearly and compellingly.
  • Strong analytical skills with a focus on identifying customer needs and providing solutions.

• Preferred:
  • Understanding of SAP technologies, including SAP Datasphere, SAP Analytics Cloud, SAP BW and SAP Business AI. Generic knowledge about SAP Business Technology Platform is useful.
  • Proficient in cloud platforms (AWS, Azure, Google Cloud) and data engineering tools.

Experience in enterprise solution sellingfocused on data management and AI integration.

• • Extensive industry network for business development.
  • Knowledge of data engineering, machine learning, AI , and their ecosystem.
  • Ability to articulate Databricks' value propositions to stakeholders.
  • Familiarity with the SAP Business Suite and SAP Line of Business solutions.
  • Awareness of trends in data management, business intelligence, and analytics technologies.
  • Understanding of industries and verticals relevant to SAP’s data and analytics solutions and verticals that are key markets for SAP’s data and analytics solutions.

We win with inclusion

Naperville
Chicago

What you’ll do:

• Model Development: Oversee the development, fine-tuning, and integration of foundation models into SAP solutions to streamline cloud transformation journeys.

• Collaboration: Engage with stakeholders in different teams at SAP as well as early adopter customers and research collaborations.

• Leadership: Mentor and lead junior and senior data scientists, fostering a culture of innovation and excellence.

What you bring:

• Educational Background: PhD or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

• Experience: 3+ years of experience in data science, with a proven record of leading projects to success.

• Technical Proficiency: Expertise in deep learning, large language models, and significant experience with deep learning frameworks such as PyTorch and Tensorflow.

• Communication: Exceptional verbal and written communication skills.

• Leadership: Demonstrated ability to lead and mentor teams and drive strategic initiatives.

We win with inclusion

Orange County
Los Angeles