Machine Learning Engineer, Inetum

Machine Learning Engineer

Inetum

Ubicación:
Colombia, Bogotá

Categoría:
TI - Desarrollo de Software

Tipo de contrato:
No proporcionado

Salario:

No proporcionado

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Descripción del trabajo:

We are looking for professionals in Systems Engineering, Electronics or related careers, with more than 4 years of experience in Data Engineering projects and development of scalable solutions for processing, with experience in building and optimizing machine learning models, process automation and data visualization.

Responsabilidades:

Design, develop and implement ML applications and LLMs
Perform performance adjustments ensuring models are scalable
Design, structure and standardize data objects for easy reuse and cross-functionality for their reusability
Integrate ML models and multi-cloud services into business applications
Evaluate ML models and LLMs through advanced metrics (if applicable) ensuring continuous operation and monitoring of ML/Gen AI infrastructure
Implement guardrails to prevent biases in Gen AI models (together with DS)
Deploy and optimize inference processes in AWS
Productize the DATA product through APIs
Implement good development practices aligned with technological standards and Data Engineering strategies

Requisitos:

Professionals in Systems Engineering, Electronics or related careers
More than 4 years of experience in Data Engineering projects and development of scalable solutions for processing
Experience in building and optimizing machine learning models
Experience in process automation and data visualization
Knowledge in Python (TensorFlow, PyTorch, LangChain)
Knowledge in APIs connection, FASTAPI
AWS Services: AWS SageMaker, Lambda, Step Functions
Orchestration: Knowledge about CI/CD flow with Jenkins
Databases: OpenSearch, DynamoDB, S3
Data processing: Spark, SQL, Pandas, Polars
Containers: Podman for containers in App Runner
AI Skills: Prompt engineering RAG
Monitoring: AWS cloud watch, AWS Cloud Trail
Analytical capacity to interpret and transform large volumes of data into reliable and reusable assets
Ability to document processes and communicate clearly to both technical and business audiences
Proactivity to propose improvements in existing architectures and data processes
Assertive communication to interact with technical teams and business areas
Collaborative leadership and ability to positively influence teams and projects
Analytical thinking and focus on solving complex problems
Proactivity to identify risks and propose continuous improvements
Organization and time management to handle multiple tasks simultaneously

Información adicional:

Oferta publicada:
17 de octubre de 2025

Tipo de empleo:

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