Senior Nlp Ml Engineer – Fintech Data & Deployment Lead

Bluelightconsulting; Quilmes; Hybride; ARS 138 361 000 - 184 482 000; Plein temps

Résumé du poste

Chevron is seeking an Applied ML Engineer to lead production ML efforts, focusing on speech-to-text (ASR) for medical conversations in Brazilian Portuguese and Latin American Spanish. The role includes LLM fine-tuning, clinical classifiers, and scalable ML infrastructure.

The position is hands-on, taking models from experimentation to production, with collaboration across product and domain teams. Fluency in Portuguese/Spanish is a plus, relocation may be considered.

Qualifications

• Experience building and operationalizing ML models in production.
• Experience with ASR, speech models, and audio ML.
• Strong Python programming skills.

Responsabilités

• 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 data pipelines and ML infrastructure.
• Collaborate on LLM fine-tuning and classifier development.
• Optimize model performance, reliability, and scalability.

Connaissances

Python

PyTorch

ML pipelines

ASR

Formation

BS in Computer Science

Outils

Databricks

Azure

CI/CD

Description du poste

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)

Vice President, Fintech & Merchants Lead

**Our Purpose**

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with