Senior Ai Engineer

hace 1 semana

Madrid, Madrid, España Hewlett Packard Enterprise A tiempo completo

Senior AI Engineer
This role has been designed as 'Hybrid' with an expectation that you will work on average 2-3 days per week from an office.

Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career, our culture will embrace you. Open up opportunities with HPE.

Job Description:

  • Defines and develops the value proposition to lead the formulation and definition of AI use case objectives and technical requirements based on user needs, an understanding of business value industry requirements, and machine learning and statistical models.
  • Conceptualizes, builds, develops, and enhances a client's analytical models. Determines the right modeling techniques to answer the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights.
  • Works with large scale computing frameworks, data analysis systems, and modeling environments. Embeds AI and analytic models into enhanced large-scale business processes and operational systems by collaborating with Application Developers and Infrastructure Architects.
  • As a recognized subject matter expert and authority, applies analytics methods and adds value to problem domains.
  • Influences a client's strategic decisions by using deep industry expertise and deploying innovative AI solutions in the operational systems.

Education And Experience Required
PhD degree in Computer Science, Engineering, Mathematics, Physics, or related field with 5+ years of relevant experience. OR Masters Degree in these areas and at least 8 years of relevant experience.

Knowledge and Skills
  • Extensive knowledge of data science and data engineering methodologies including but not limited to classical regression, machine learning, deep learning, association rules, sequence analysis, cluster analysis, computer vision, and natural language processing.
  • Extensive knowledge of Python and expertise with deep learning frameworks such as PyTorch and TensorFlow.
  • Experience with large scale training and inference, and machine learning pipelines in production systems.
  • Knowledge of Generative AI and Large Language Models, including prompting and finetuning techniques.
  • Understanding of software engineering methodologies and design patterns, as well as IT enterprise architectures (containers and container orchestrations solutions, cloud solutions).
  • Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
  • Advanced communication and presentation skills.
  • Strong analytical and problem-solving skills.
  • Excellent interpersonal skills and effectiveness in working across geographical boundaries.

Business Acumen:
Relates risks and challenges the customer should expect to encounter with the solution with other client efforts or projects. Develops Architecture Specification deliverables that map customer business requirements into complete information systems or operational solutions.

Technical:
  • Broad IT industry knowledge with depth in multiple areas.
  • Has pulse on future technology or operational trends as they relate to and support customer business directions.
  • Broad knowledge of IT and business standards and best practices and how to apply them appropriately in solutions.
  • Expert or Master level of knowledge of multiple technologies or IT disciplines.
  • Able to design planning for accessibility, scalability, and availability.

Engagement Delivery:
  • Able to write Statements of Work for large enterprise or global level solutions that span multiple technologies or operational areas.
  • Able to apply program/project management methods and processes to define, plan, cost, resource, track and ensure the accomplishment of targeted goals for large enterprise or global level projects.
  • Successfully works on project teams. Individual success defined by how the organization works as a team.

Leadership:
  • Collaborates effectively with the project manager to manage regional and global projects as necessary.
  • Plays a leading role in the AI & Data Science profession at both local and regional levels.
  • Makes consistent and ongoing high-quality contributions to the company knowledge systems.

Consulting:
  • Builds and manages long-term, strategic relationships at CEO and CIO level.
  • Excellent customer influence and negotiation skills.
  • Ability to systematically gather, assess and apply critical organizational, technical, operational, and sales/marketing information for business decisions.
  • Ability to articulate technical or operational problems into understandable business terms appropriate for the audience.

Join us and make your mark
  • A competitive salary and extensive social benefits
  • Diverse and dynamic work environment
  • Work-life balance and support for career development
  • An amazing life inside the element. Want to know more about it? Then let's stay connected.

What We Can Offer You:
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that support their physical, financial, and emotional wellbeing.

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We make bold moves, together, and are a force for good.

Let's Stay Connected: Follow HPECareers on Instagram to see the latest on people, culture, and tech at HPE.



HPE is an Equal Employment Opportunity employer committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Summary
Location: Singapore, Central Singapore, Singapore; Sofia, Sofia, Bulgaria; Tokyo, Tokyo, Japan; Las Rozas, Madrid, Spain
Type: Full time

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