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Machine Learning / AI Engineer / Híbrido Position in CABA Centro – Argentina (modalidad hibrida). - ADN Recursos Humanos


Job description

Requerimientos:



-Más de cinco años de experiencia en ML/AI engineering, con ?2 años dedicados a MLOps en producción.



-Experiencia desplegando sistemas RAG a escala.



-Capacidad para liderar iniciativas técnicas y coordinar equipos multidisciplinarios.



-Inglés técnico (oral y escrito).



-Valorable experiencia en sector financiero o consultoría tecnológica B2B.



Conocimientos técnicos:



-Lenguaje y frameworks de ML & Generative AI.



-Python 3.xx (tipos, Pydantic, AsyncIO) con ecosistema científico (Pandas, NumPy, Polars).



-Frameworks de deep learning: PyTorch ?2.x, TensorFlow 2.x/Keras, JAX/Flax.



-Frameworks de agentes y orquestación GenAI: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen.

Plataforma MLOps & Experimentación.



-Tracking y registro de modelos: MLflow Tracking + Model Registry.



-Orquestación de pipelines: Kubeflow Pipelines, Argo Workflows, AWS.



-SageMaker Pipelines, Vertex AI Pipelines.



-Versionado de datos/artefactos: DVC, LakeFS.

Observabilidad y monitoreo.



-Métricas y trazabilidad: Prometheus, Grafana, OpenTelemetry.



-Calidad de datos/modelos: Evidently AI, WhyLabs.



-Vector DB, RAG & búsqueda semántica.



-Bases vectoriales: Pinecone, Weaviate, Milvus, pgvector.



-Toolkits RAG: LangChain Retrievers, LlamaIndex integrations.

Entorno Cloud & Serverless GenAI.



-Servicios managed GenAI: AWS Bedrock, Azure OpenAI Service, Google Gemini, Anthropic Claude.



-Serverless/event?driven: AWS Lambda, Google Cloud Functions, Cloud Run.



Responsabilidades clave:



-Diseñar y mantener pipelines de ML y LLMs (entrenamiento, fine?tuning, inferencia, retraining).



-Desplegar modelos ML en producción.



-Implementar y gobernar vector stores y pipelines RAG para exponer capacidades de IA generativa sobre datos corporativos.



-Colaborar en la operacion del equipo (estimaciones técnicas, demos y RFPs).



-Liderar revisiones de arquitectura con foco en escalabilidad, resiliencia y compliance.



-Investigar continuamente la evolución de la IA generativa para proponer innovaciones.







Lugar de trabajo: CABA Centro – Argentina (modalidad hibrida).



Lugar de residencia: Preferentemente cerca del lugar de trabajo.



Horario: Lunes a viernes de 9 a 18 hs.



Edad: Indistinto



Sexo: Indistinto



Disponibilidad para viajar: Indistinto



Fecha de Inicio: Inmediato



Modalidad: Relación de dependencia.



Posiciones a cubrir: 1.



La persona que asuma este puesto tendrá la posibilidad de desarrollarse dentro de un equipo de profesionales de alta calidad, con excelente ambiente laboral, remuneración acorde al desafío, más otros beneficios.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in CABA Centro – Argentina (modalidad hibrida)., Argentina, highlighting market share and opportunities for professionals in Machine Learning roles.

4314 Jobs in Argentina
4314
62 Jobs in Caba Centro – Argentina (Modalidad Hibrida).
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Download Machine Learning Jobs Trends in Caba Centro – Argentina (Modalidad Hibrida). and Argentina

Are You Looking for Machine Learning / AI Engineer / Híbrido Job?

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