Senior software Developer 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, IT ServicesIndustries

Requirements

Advanced knowledge in AI and machine learning, including staying up to date with latest advancements, emerging technologies, and cutting-edge techniques
Expertise in designing and architecting AI solutions, analyzing business requirements, understanding constraints, and proposing appropriate machine learning models and algorithms
Ability to consider scalability, performance, and maintainability in solution design
Experience providing technical guidance, mentorship to junior team members, code/design reviews, and thought leadership
Strong collaboration skills with stakeholders (e.g., product managers, data scientists, business analysts) and cross-functional teams
Skills in driving continuous improvement, innovation, evaluating/integrating third-party tools, and promoting best practices in AI/ML
Capability to facilitate design review sessions, mentor during reviews, collaborate with engineering manager/team lead, and provide constructive feedback
Proficiency in coordinating meetings, preparing/delivering presentations and reports, translating technical concepts for non-technical audiences
Ability to interpret/report data findings and maintain/update business intelligence tools, databases, dashboards, systems, or methods
Experience in design/development of solutions to complex application problems, system administration issues, or network concerns (where applicable)

Responsibilities

Conduct advanced research in AI and machine learning, stay up to date with advancements, explore emerging technologies, and identify opportunities for complex business problems
Design and architect AI solutions for complex problems, analyzing requirements and proposing models/algorithms
Provide technical guidance and mentorship to junior team members, share best practices, review code/designs, and participate in technical discussions
Collaborate with stakeholders and cross-functional teams to understand requirements and implement AI/ML projects
Drive continuous improvement and innovation in AI/ML practices, identify improvements, explore new techniques, and promote best practices
Evaluate and integrate third-party tools or services to enhance AI solutions
Facilitate design review sessions, ensure alignment with requirements/best practices, and mentor juniors during sessions
Collaborate with engineering manager and team lead to refine design/implementation strategies and provide peer feedback
Participate in and coordinate meetings for effective team coordination and communication
Independently prepare and deliver presentations/reports to stakeholders, translating complex concepts
Interpret and report data findings; maintain/update business intelligence tools, databases, dashboards, systems, or methods
Design and develop solutions to complex application problems, system administration issues, or network concerns (where applicable)

Skills

Machine Learning

Algorithms

Scalability

Software Architecture

Research

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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