Artificial Intelligence Lab

1 week ago

Bengaluru Karnataka, India Hewlett Packard Full time

**Vision**
All the recent innovations in the Gen AI space have set the basis for a change in the way we work and how we interact with technology. Gen AI offers an unprecedented ability to understand our requests and generate high quality context in multiple modalities, including text, image, video and music, among others. While the first wave of Gen AI innovations has had a special focus on the cloud, there is strong impetus for offerings that live on the edge, where one can tightly control and secure personal data access, improve responsiveness and can reduce execution costs.

In this context, the AI Lab, within the HP’s Future Technologies and Experiences team (FT&E) is conducting applied research in Gen AI with a focus on the edge. The resulting innovations will influence the HP Personal Systems product portfolio.

**Job details**

**Responsibilities**
- Proposes and executes innovation that brings meaningful impact to HP products/services
- Provides technology leadership in AI/ML with deep expertise in at least one AI/ML domain
- Leads a particular AI research workstream, plans milestones and deliverables, aligns priorities and facilitates trajectory from research to product.
- Leads innovation that improves on the state of the art
- Works with technologists and business unit leaders on model strategy from concept to deployment
- Works with University partners on joint research efforts
- Provides guidance, training and mentorship to less experienced staff members.
- Prepares and makes presentations, produces patents, and publishes in industry/academic conferences.
- Manages and creates relationships with business partners to evaluate and foster AI innovation, provides domain-specific expertise in cross-organization projects/initiatives.
- Ties insights into effective visualizations communicating business value and innovation potential.
- Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.

**Education & Experience Recommended**
- Graduate Degree in Mathematics, Statistics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
- A track record of demonstrated innovation (patents/publications/product contributions)
- A track record of product contributions and technology leadership

**Preferred Certifications**

**Knowledge & Skills**
- Algorithms
- Artificial Intelligence
- Deep Learning
- Machine Learning
- Natural Language Processing
- Python, Pytorch, Tensorflow (Programming Language)
- Software Engineering (sound coding practices, knowledge of SDLC and SW design, use of tools like Git)
- Use of Cloud Infrastructure (AWS/Azure)
- ML Ops best practices, versioning, experiment tracking, error analysis, attribution, monitoring

**Cross-Org Skills**
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity

**Impact & Scope**
- Impacts large functions and leads large, cross-division functional teams or projects.

**Complexity**
- Provides highly innovative solutions to complex problems within established policy.

**Disclaimer**

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