Experienced AI Engineer for Storage Domain at Hewlett Packard Enterprise

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, StorageIndustries

Requirements

Experience leading cross-functional teams in AI solutions for business benefits
Expertise in designing and developing solutions using patterns in petabyte-scale objects and files in distributed enterprise storage platforms
Proficiency in designing, developing, and deploying hybrid RAG architectures integrating LLMs with retrieval-based systems
Skills in functional design, process design (scenario design, flow mapping), prototyping, testing, training, and defining support procedures
Ability to translate technical AI findings into business-oriented language for non-technical stakeholders
Experience implementing and managing pipelines combining retrieval mechanisms with generative capabilities
Knowledge of developing custom plugins, adapters, or APIs to integrate retrieval systems (e.g., Elasticsearch) with generative models
Expertise in fine-tuning and optimizing large language models for domain-specific requirements
Capability to monitor, troubleshoot, and optimize pipelines, retrieval parameters, and model hyperparameters
Experience evaluating and benchmarking vector databases and integrating vector search into production systems
Skills in evaluating and benchmarking solution performance using metrics like response accuracy, latency, and user satisfaction
Ability to articulate, document solutions architecture, and lessons learned
Experience serving as liaison between stakeholders and project teams
Proficiency in demonstrating innovative AI use-cases, conducting workshops, training sessions, and technical papers

Responsibilities

Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform
Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
Translate technical AI findings into clear, business-oriented language for non-technical stakeholders to support AI-driven business strategies
Implement and manage pipelines that effectively combine retrieval mechanisms with generative capabilities, ensuring high accuracy and efficiency
Develop custom plugins, adapters, or APIs to integrate retrieval systems (e.g., Elasticsearch) with generative models, facilitating seamless information retrieval
Fine-tune and optimize large language models, enhancing their performance and adaptability to domain-specific requirements
Monitor and troubleshoot issues within pipelines, fine-tuning retrieval parameters and model hyperparameters to optimize performance
Evaluate and benchmark the performance of vector databases and collaborate with data scientists and software engineers to integrate vector search capabilities into production systems
Evaluate and benchmark the performance of solutions, using metrics such as response accuracy, latency, and user satisfaction
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Demonstrate innovative AI use-cases, conducting workshops and training sessions, technical paper and presentations

Skills

Machine Learning

Object Storage

Storage Systems

Data Intelligence

Cloud Platforms

HPE GreenLake

Cross-functional Leadership

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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