Coderslab.io is looking to hire a Machine Learning Engineer to join the team. You will be responsible for designing, training, and deploying ML models in production on Google Cloud (Vertex AI), while integrating generative AI capabilities into the company's products.
About the client and the project: the company delivers innovative technology solutions and provides opportunities for continuous learning under the guidance of experienced professionals and cutting-edge technologies. The goal is to deliver value in key business processes.
Oportunidad laboral en getonbrd.com.
Train, fine-tune, and deploy models on Google Vertex AI (AutoML, Generative AI Studio, pipelines).
Build and maintain end-to-end ML pipelines covering training, tuning, and endpoint management.
Integrate generative AI models (LLMs, embeddings, RAG) into existing systems.
Monitor model performance in production and drive continuous improvement.
Collaborate with data and product teams to identify ML application opportunities.
Document architectures, experiments, and technical decisions.
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related field.
At least 3 years of experience in ML Engineering or similar roles.
Strong proficiency in Python and at least one deep learning framework (TensorFlow or PyTorch).
Hands-on experience with Google Vertex AI: AutoML, Generative AI Studio, and pipeline management.
Solid understanding of MLOps best practices: model versioning, CI/CD for ML, and monitoring.
Own equipment available for remote work.
Tech stack
Python
TensorFlow
PyTorch
Google Vertex AI
AutoML
Generative AI Studio
LLMs
Embeddings
Fine-tuning
MLOps
Master's degree or specialization in Machine Learning, AI, or Data Science.
Active Google Cloud Platform (GCP) certification.
Experience with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning).
Knowledge of RAG system design and data vectorization.
Background in retail or e-commerce environments.
Ability to communicate technical results clearly to non-technical stakeholders.
Modalidad contractor
Remoto
GETONBRD Job ID: 60740
Remoto sólo localmente
El trabajo es 100% remoto, pero los candidatos deben residir en Sudamérica para postular.
We help companies transform and grow their businesses through innovative technology solutions. — Perfil completo de Coderslab.io
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Argentina
Colombia
México
Perú
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Estados Unidos
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Postula con Google
