Lead Machine Learning Engineer

HP
Porto Alegre
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7-10 yearsEducation: bachelorsSkills: ["Effective Communication","Results Orientation","Learning Agility","Digital Fluency","Customer Centricity"]

Design, develop, and deploy cutting-edge machine learning models that turn complex data into actionable insights. Build and maintain distributed data pipelines and monitoring systems, and create scalable processes for large-scale data operations. Partner with business and analytics teams to translate requirements into ML solutions, collaborating with DevOps to automate deployment and integrate models into production systems. Contribute to AI/ML research and continuously improve model performance and customer impact.

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FursaFursa
HP
HP
3 months ago

Lead Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design, develop, and deploy cutting-edge machine learning models that turn complex data into actionable insights. Build and maintain distributed data pipelines and monitoring systems, and create scalable processes for large-scale data operations. Partner with business and analytics teams to translate requirements into ML solutions, collaborating with DevOps to automate deployment and integrate models into production systems. Contribute to AI/ML research and continuously improve model performance and customer impact.
Location: Porto Alegre
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect, develop, and program integrated software solutions for the development, deployment, and lifecycle of ML models.
  • •Build and maintain robust data pipelines and monitoring systems for distributed computing environments.
  • •Define collection protocols, analyze data sources, develop/train/evaluate models, and create visualizations for data properties and model performance.
  • •Establish and optimize scalable processes for large-scale data operations to drive ML product improvements.
  • •Collaborate with business/analytics teams and DevOps to integrate AI/ML models into production systems and automate deployment; validate and monitor customer requirements.

Key Requirements

  • •Have a four-year degree or graduate degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline (or equivalent work experience).
  • •Typically 7–10 years of work experience in computer programming, machine learning, algorithms, or statistical methods.
  • •Strong experience designing, training, and evaluating machine learning models, including creating data and model performance visualizations.
  • •Experience building and maintaining robust data pipelines and monitoring systems in distributed computing environments.
  • •Ability to translate data requirements into technical solutions using machine learning principles and support production deployment.
Experience:7-10 yearsMachine learningData science
Education:Bachelor's in Computer Science, Statistics, Mathematics, Data Science
Skills:Effective CommunicationResults OrientationLearning AgilityDigital FluencyCustomer Centricity
Certifications:AWS Certified Machine Learning Specialty
Tech Stack:Amazon Web ServicesAWSApache SparkBig DataC++JavaMicrosoft AzureNatural Language ProcessingPythonPyTorchScikit-learnTensorFlowArtificial IntelligenceMachine LearningDeep LearningSoftware EngineeringAutomationAgile Methodology

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
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