Senior Machine Learning Engineer - AI Applications

HP
Porto Alegre, Rio Grande do Sul
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4-7 yearsSkills: ["Effective communication","Results orientation","Learning agility","Digital fluency","Customer centricity"]

Develop and deploy machine learning and generative AI applications that deliver business value. Research and implement ML algorithms, build ML/GenAI pipelines, and train/validate models using evaluation metrics, prompt engineering, and LLM fine-tuning. Optimize hyperparameters, deploy models to production with scalable and reliable services, and monitor/update them as data and requirements evolve. Collaborate across research, engineering, and CI/CD teams to improve automated training and GenAI capabilities like RAG, embeddings, and vector databases.

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FursaFursa
HP
HP
5 days ago

Senior Machine Learning Engineer - AI Applications

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Develop and deploy machine learning and generative AI applications that deliver business value. Research and implement ML algorithms, build ML/GenAI pipelines, and train/validate models using evaluation metrics, prompt engineering, and LLM fine-tuning. Optimize hyperparameters, deploy models to production with scalable and reliable services, and monitor/update them as data and requirements evolve. Collaborate across research, engineering, and CI/CD teams to improve automated training and GenAI capabilities like RAG, embeddings, and vector databases.
Location: Porto Alegre, Rio Grande do Sul
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and program integrated software solutions for the development, deployment, and lifecycle of machine learning and generative AI models.
  • •Train, validate, and fine-tune models (including prompt engineering for LLMs) using evaluation metrics; optimize hyperparameters for performance and generalization.
  • •Design, develop, test, and maintain scalable ML and GenAI pipelines that produce models and services efficiently.
  • •Deploy ML/GenAI models to production environments with scalability, reliability, and efficiency; support deployment through CI/CD and containerization/orchestration.
  • •Monitor and maintain deployed models, updating them to adapt to changing data/requirements while collaborating with research and engineering teams on RAG, embeddings, and vector database-based capabilities.

Key Requirements

  • •4–7 years of experience in software development, machine learning, generative AI, or related fields (or 3–5 years with an advanced degree).
  • •Bachelor’s degree or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, Artificial Intelligence, or a related discipline (or equivalent professional experience).
  • •Hands-on experience with large language models (LLMs), multimodal GenAI systems, and deploying models in production environments.
  • •Ability to develop, train, validate, and optimize ML/GenAI models using appropriate evaluation metrics, prompt engineering, and fine-tuning.
  • •Experience integrating ML/GenAI applications into production systems and services with scalability and reliability in mind.
Experience:4-7 yearsMachine learningGenerative AILLMsSoftware developmentStatistical modelingModel deployment
Skills:Effective communicationResults orientationLearning agilityDigital fluencyCustomer centricity
Tech Stack:Azure CloudMicrosoft AzurePythonPyTorchScikit-learnTensorFlowLangChainHugging Face TransformersOpenAI APIRetrieval-Augmented Generation (RAG)Large Language Models (LLMs)Prompt EngineeringVector DatabasesFAISSAI SearchElasticSearchCI/CDAgile MethodologyBig DataNatural Language Processing

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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