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

Deep understanding of AI and machine learning (inferred from responsibilities requiring advanced research, design, and implementation)
Ability to stay up to date with latest advancements in AI/ML and emerging technologies
Experience analyzing business requirements, constraints, and proposing ML models/algorithms
Knowledge of scalability, performance, and maintainability in solution design
Technical guidance, mentorship, code/design review, and thought leadership skills
Stakeholder collaboration and cross-functional team alignment experience
Ability to drive continuous improvement, innovation, and adoption of AI/ML best practices
Experience evaluating and integrating third-party AI tools/services
Facilitation of design review sessions and providing constructive feedback
Coordination of meetings and effective team communication
Preparation and delivery of presentations/reports translating technical concepts for non-technical audiences
Ability to interpret/report data findings and maintain/update BI tools, databases, dashboards, systems
Design/development skills for complex application problems, system administration, or network issues

Responsibilities

Conducting advanced research in AI and machine learning, staying up to date with advancements, exploring emerging technologies, and identifying opportunities for complex business problems
Designing and architecting AI solutions for complex problems, analyzing requirements/constraints, and proposing ML models/algorithms, considering scalability, performance, and maintainability
Providing technical guidance and mentorship to junior team members, sharing best practices, reviewing code/designs, and helping overcome challenges
Participating in technical discussions and providing thought leadership
Collaborating with stakeholders (product managers, data scientists, business analysts) to understand requirements and translate into technical solutions, ensuring cross-functional alignment
Driving continuous improvement and innovation in AI/ML practices, identifying improvements, exploring new techniques/technologies, and promoting best practices
Evaluating and integrating third-party tools/services to enhance AI solutions
Facilitating design review sessions for projects, ensuring alignment with requirements and best practices
Mentoring junior team members during review sessions
Collaborating with engineering manager and team lead to refine/iterate on design/implementation strategies and provide peer feedback
Participating in and coordinating meetings for effective team coordination/communication
Independently preparing/delivering detailed presentations/reports to stakeholders, translating complex concepts
Interpreting/reporting data findings and maintaining/updating BI tools, databases, dashboards, systems, or methods
Designing/developing solutions to complex application problems, system administration issues, or network concerns, as applicable

Skills

Machine Learning

Algorithms

AI Research

Scalability

Performance

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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