#991 - Machine Learning Engineer

Job Opportunity only available for professionals located in Latin America.

The client is a consulting company dedicated to the application of innovative AI for business transformation. They partner with organizations to enable their AI adoption journey through the service and expertise of their integrated business and AI Lab. With Enterprise AI adoption as their core, the team brings deep expertise in full stack software development, AI/ML engineering, cloud architecture, data analytics, and support operations.
Requirements:

- Native Spanish or Portuguese language.

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Advanced English level (B2/C1) to ensure fluent communication across teams.

- 5+ years building and shipping production ML/data systems in Python - services owned through deploy, monitoring, and incident response.

- Practical experience with LLMs , embedding models, and retrieval-augmented generation ( RAG ), including prompt engineering and fine-tuning where appropriate.

- Experience deploying and operating ML solutions in production on Azure and/or AWS , with MLOps practices for versioning, monitoring, and retraining.

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Production-grade software engineering : PyTest, CI gating, schema migrations, API design (FastAPI), PostgreSQL.

- Demonstrated ability to generalise a system across multiple problem domains rather than special-casing each - having built a platform.

- Excellent client-facing communication, presentation, and workshop facilitation skills.

Responsibilities:

- Own, manage, enhance, and support the client's decision-intelligence platform as the foundation of AI/ML delivery.

- Own model selection, feature engineering, and evaluation strategy across client engagements.

- Frame business problems as ML problems, defining success metrics, data requirements, and validation approaches.

- Design, build, deploy, monitor, and support ML and AI services in production - from data ingestion through to modelling, API, and dashboard validation.

- Generalise solutions across problem domains rather than building one-off implementations.

- Integrate LLM and RAG capabilities where they add value, applying prompt engineering and fine-tuning as required.

- Implement MLOps practices for model versioning, monitoring, retraining, and performance management.

What do we offer?

- Competitive salary in USD .

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100% Remote work.

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Duration : Long-term.

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Type of contract : Independent Contractor with Venon Solutions LLC.

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Paid Time Off : 2 weeks / 10 business days.

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Paid Holidays from the US calendar.

- Working hours: Full-time EST, fully committed.

Originally posted on Himalayas