AI /ML Engineer

Hewlett Packard Enterprise; Sant Cugat del Vallès; Presencial; EUR 55.000 - 90.000; Jornada completa

Descripción de la vacante

Hewlett Packard Enterprise is seeking an AI/ML Engineer to specialize in developing and deploying machine learning models that drive innovation and business value. You will research algorithms, run experiments, train and retrain systems, and ensure smooth production integration.

The role involves developing ML software solutions, tuning models, deploying to production, and collaborating with CI/CD and research teams to improve automated training techniques.

Formación

• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline.
• Typically 4-7 years of work experience in programming, ML, algorithms, or related field.

Responsabilidades

• Develops and programs integrated software solutions for ML model lifecycle.
• Trains and validates models using appropriate metrics and techniques.
• Optimizes hyperparameters to improve performance.
• Deploys ML models to production with scalability and reliability.
• Monitors and maintains deployed models and updates as needed.
• Designs ML systems and pipelines for scalable models.
• Collaborates with CI/CD teams for seamless deployment.
• Works with research and engineering teams to enhance training techniques.
• Applies ML and statistical modeling to business or research problems.

Conocimientos

Python

Java

C++

Machine Learning

Deep Learning

Data Science

Natural Language Processing

Software Engineering

Algorithms

Agile Methodology

Big Data

Distributed Systems

Communication

Educación

Bachelor's or higher in CS/Math/Stats/Data Science

Herramientas

AWS

Microsoft Azure

Apache Spark

PyTorch

TensorFlow

Scikit-learn

Descripción del empleo

AI /ML EngineerDescription -This role is responsible for specializing in development and deployment of machine learning models that drive innovation and business value. The role researches and implements appropriate ML algorithms and tools, runs machine learning tests and experiments, and trains and retrains systems when necessary. The role contributes to deploying models in production environments and ensuring their seamless integration.Responsibilities• Develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.• Trains and validates models using appropriate evaluation metrics and techniques.• Optimizes and tunes hyperparameters to improve model performance and generalization.• Deploys machine learning models to production environments, ensuring scalability, reliability, and efficiency.• Monitors and maintains deployed models, making necessary updates to adapt to changing data or requirements.• Spearheads the design of ML systems, experiments with ML algorithms, and regularly trains systems for maximum efficiency.• Designs, develops, tests, and maintains ML pipelines that efficiently produce scalable models.• Cooperates with CI/CD teams to ensure seamless deployment of models to production.• Partners with research and engineering teams to enhance automated model training techniques.• Applies machine learning and statistical modeling techniques to business or research problems.Education & Experience Recommended• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.• Typically has 4-7 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field or an advanced degree with 3-5 years of work experience.Preferred Certifications• AWS Certified Machine Learning SpecialtyKnowledge & Skills• Agile Methodology• Algorithms• Amazon Web Services• Apache Spark• Artificial Intelligence• Automation• Big Data• C++ (Programming Language)• Computer Science• Data Science• Deep Learning• Java (Programming Language)• Machine Learning• Microsoft Azure• Natural Language Processing• Python (Programming Language)• PyTorch (Machine Learning Library)• Scikit-learn (Machine Learning Library)• Software Engineering• TensorFlowCross-Org Skills• Effective Communication• Results Orientation• Learning Agility• Digital Fluency• Customer CentricitySales & Services EntityJob -SoftwareSchedule -Full timeShift -No shift premium (Spain)Travel -NoRelocation -NoEqual Opportunity Employer (EEO) -HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"