*responsibilities are, but are not limited to*:
- defining the ai group strategy and roadmap
- work closely and in collaboration with the product team
- work to technically grow ai developers' community
- gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth
- translate customers and community needs into detailed requirements
- scope and prioritize activities based on business and customer impact
- work closely with clients, partners, business units, qa, product and engineering teams to elicit requirements and deliver with quick time-to-market and optimal resources
- work to ensure product high standards and quality
*behavioral traits*:
- strong problem-solving skills and willingness to roll up one's sleeves to get the job
- skilled at working effectively with cross-functional teams
- people management and leadership experience
- excellent written and verbal communication skills
*qualifications*
*minimum qualifications*:
- bachelor+ degree in computer science, computer engineering or related field ("cedula profesional" may be required)
- 8+ years of experience in machine learning, data science methodologies and processes.
- 6+ years of experience in system design and architecture
- 10+ years of experience managing and building software teams
- 8+ years of agile development methodology
*preferred requirements*:
- cloud-native technologies like kubernetes, docker and containers
- product management, strategic planning, agile development processes, process definition
- turning product vision and strategy into well-articulated business requirements, as well as using qualitative and quantitative data effectively to inform product direction
- product management processes
- kubernetes (cka) certification
- pmp certification
requirements listed would be obtained through a combination of industry-relevant job experience, internship experiences and or schoolwork/classes/research.
*inside this business group*
the machine learning performance (mlp) division is at the leading edge of the ai revolution at intel, covering the full stack from applied ml to ml / dl and data analytics frameworks, to intel oneapi ai libraries, and cpu/gpu hw/sw co-design for ai acceleration.
it is an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds.
the deep learning frameworks and libraries (dlfl) department is responsible for optimizing leading dl frameworks on intel platforms.
we also develop the popular oneapi deep neural network library (onednn), and new onednn graph library.
our goal is to lead in deep learning performance for both the cpu and gpu.
we work closely with other intel business units and industrial partners.
*position of trust*
*work model for this role*
this role will require an on-site presence.