AI/ML Engineer at Hewlett Packard Enterprise

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, IT ServicesIndustries

Requirements

4+ years in AI/ML engineering, data science, or applied machine learning
Proficiency in Python, R, or Scala with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost)
Strong background in statistics, data mining, and algorithm design
Hands-on experience with cloud AI/ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
Familiarity with MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes)
Strong knowledge of SQL/NoSQL databases and data lakes
Preferred: Experience with Generative AI

Responsibilities

Design, train, and optimize ML/DL models for classification, prediction, NLP, computer vision, and recommendation systems
Deploy ML models into production using MLOps frameworks (Kubeflow, MLflow, SageMaker, Vertex AI, Azure ML)
Develop reusable ML components for scalability and automation
Work with large-scale datasets for feature extraction, cleaning, and transformation
Implement data pipelines for real-time and batch ML workloads
Ensure data quality, consistency, and lineage across pipelines
Build end-to-end automated ML lifecycle pipelines (training, testing, deployment, monitoring)
Integrate CI/CD practices into ML model deployment
Implement drift detection, continuous learning, and retraining strategies
Optimize algorithms for speed, accuracy, and cost efficiency
Leverage GPU/TPU environments for high-performance training
Benchmark models and fine-tune hyperparameters for business KPIs
Ensure compliance with ethical AI practices and regulatory frameworks
Implement security measures for ML models (adversarial robustness, secure APIs)
Collaborate with cybersecurity and governance teams for responsible AI adoption
Work with data scientists, data engineers, and business analysts to align AI solutions with business outcomes
Mentor junior engineers and contribute to best-practice frameworks
Stay updated on emerging AI/ML research, tools, and technologies

Skills

Key technologies and capabilities for this role

AIMLMachine LearningDeep LearningNLPComputer VisionML PipelinesModel DevelopmentModel DeploymentData ScienceScalable ML

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This role is designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

What experience level is required for this AI/ML Engineer role?

The position requires 4+ years of expertise in designing, developing, and deploying machine learning and artificial intelligence solutions at enterprise scale.

What key technical skills are needed for this position?

Key skills include designing and deploying ML/DL models for classification, prediction, NLP, computer vision, and recommendation systems; MLOps frameworks like Kubeflow, MLflow, SageMaker; data engineering for large-scale datasets; and building automated ML pipelines with CI/CD.

What is the company culture like at HPE?

HPE's culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and supports career growth.

What makes a strong candidate for this AI/ML Engineer role?

A strong candidate has 4+ years of experience building scalable ML pipelines at enterprise scale, expertise in MLOps, data engineering, model optimization, and ensuring security and governance in AI solutions.

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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