Applied ML Engineer (Speech/ASR/LLMs) - Senior (Brazil / Argentina)
About the role
We're looking for an Applied ML Engineer to lead the development and operationalization of machine learning models powering real-world AI products.
The primary focus of the role will be building and improving speech-to-text (ASR) systems for medical conversations in Brazilian Portuguese and Latin American Spanish, while also contributing to LLM fine-tuning, clinical classifiers, and production ML infrastructure.
This is a highly hands-on role focused on taking models from experimentation to production.
What you'll do
Design, train, fine-tune, and deploy ML models for speech and language applications
Build and maintain training pipelines and evaluation frameworks
Work on ASR systems for domain-specific medical conversations
Develop and improve data pipelines and ML infrastructure
Collaborate on LLM fine-tuning and classifier development
Optimize model performance, reliability, and scalability
Partner with product and domain teams to translate business needs into ML solutions
Contribute to production deployment and monitoring of ML systems
What we're looking for
Strong experience building and operationalizing ML models in production
Hands-on experience with:
ASR / speech models / audio ML
PyTorch or modern ML frameworks
ML infrastructure and distributed training
Experience building:
evaluation frameworks
Strong programming skills in Python
Ability to work independently in ambiguous environments
Experience collaborating across technical and non-technical teams
Nice to have
Experience with orchestration frameworks
clinical or healthcare data
Experience building data flywheels or feedback loops
Experience with GPU orchestration and experiment tracking
Fluency in Portuguese and/or Spanish
Full-time
Note
This is an applied ML engineering role,



not a pure research position.
We are looking for builders who can take models from experimentation through deployment and production operation.
Buenos Aires, Buenos Aires, Argentina
Full time
R
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Job Description
Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
Leverage data, software engineering, and data science techniques to create business value through data accessibility.
Includes data ingestion, data preparation and analytics processing.
Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
Responsible for normalizing and ingesting data from multiple sources.
Enable data scientists, making data available for advanced analytics models, and contributing to models.
Work with ML Engineer to scale and deploy solution including model, documentation, training, integration
Contributing to the inner source development of foundational tools, and/or the deployment of technical services.
Required Qualifications
BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
+5 years in Data Engineer Role




Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
Analytical thinking, Consulting, Critical Thinking
Relocation Options
Relocation may be considered.
International Considerations
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies.
Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry.
Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations.
Chevron is based in Houston, Texas.
More information about Chevron is available at .
Chevron is an Equal Opportunity / AffPhirmp, ... (continuing the exact original text)
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