1 month ago

Senior Machine Learning Engineer - AI Applications

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design, develop, and deploy cutting-edge machine learning models to solve complex business problems. Work with cross-functional teams to transform data into actionable insights, build robust data pipelines, and integrate ML solutions into production, while staying current with AI advances and optimizing models for performance.

Location: Porto Alegre

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
•Builds and maintains robust data pipelines and monitoring systems in distributed computing environments.
•Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.
•Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.
•Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.

Key Requirements

•Typically 7-10 years of work experience in computer programming, machine learning, algorithms, or related fields.
•Four-year or graduate degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline.
•AWS Certified Machine Learning Specialty (preferred).
•Proficiency with AWS, Apache Spark, Python, PyTorch, TensorFlow, Scikit-learn, and ML lifecycle tools.
•Strong knowledge of ML algorithms, data processing, and model evaluation; experience with distributed data processing and DevOps integration.

Experience:7-10 yearsMachine learningAIData processingDistributed computing

Education:Bachelor's in Computer Science, Statistics, Mathematics, Data Science

Skills:CommunicationProblem-solvingTeam collaborationCloudML lifecycle

Certifications:AWS Certified Machine Learning Specialty

Tech Stack:AWSApache SparkC++JavaPythonPyTorchScikit-learnTensorFlowMicrosoft AzureNatural Language ProcessingNLP

Company Brief

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: 3.8

Website LinkedIn

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