AI/ML Engineer

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology & ServicesIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 3 years of experience in developing and deploying machine learning models. Strong programming skills in Python are required, along with experience in machine learning frameworks such as TensorFlow or PyTorch. Familiarity with cloud platforms like AWS or Azure is preferred, and a solid understanding of data structures and algorithms is essential.

Responsibilities

The AI/ML Engineer will experiment, design, develop, and maintain machine learning models and pipelines with a high potential for value and scale, collaborating with other engineers and data scientists to implement solutions. They will perform research and testing, conduct model training and evaluation, integrate and monitor solutions, and research new technologies for machine learning. The role also involves maintaining existing machine learning systems, working with large datasets, and leading project teams to design and develop complex products and platforms, providing feedback, and driving innovation.

Skills

Cloud Development

Data Engineering

Prototyping

Designing Cloud Solutions

Deployment

Monitoring

Support

Collaboration

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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