Job Description: **What does the company do?** **A leading digital media company in Argentina** with a long-standing presence in the market, distinguished by delivering high-quality, up-to-date journalistic content through its online platform. **What do you need to join the team?** Personal skills: * Ability for critical thinking and solving complex data-driven problems. * **Ability to work independently, make technical decisions, and drive projects from start to finish.** * Clear and precise communication of results to Product and Technology teams. Technical skills: * **At least 2 years of experience in Data Science or Machine Learning.** * **Minimum 3 years of experience with Python and SQL \| Mandatory.** * **Experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, and Cloud Functions \| Mandatory.** * Proficiency in notebooks for experimentation and prototyping. * **Experience in data modeling, defining productivity metrics, and automating reporting.** * Knowledge and/or hands-on experience in MLOps, monitoring, and deploying machine learning models. **It's a plus if:** * You have experience with: Vertex AI or MLflow and infrastructure as code (Terraform, Cloud Build, etc.). * Knowledge in maintaining production models (monitoring, retraining, drift detection). **What will you do?** As a **Senior Machine Learning Engineer**: * **Design, train, and optimize machine learning models in Jupyter notebook environments.** * **Implement data pipelines and workflows on GCP (BigQuery, Cloud Functions, Workflows, Vertex AI).** * **Develop and maintain data processing and transformation scripts for model training and validation.** * **Ensure data quality, integrity, and traceability through best practices in versioning and documentation.** **Apply advanced natural language processing (NLP) techniques: embeddings, classification, language modeling, entity extraction.** * **Use machine learning frameworks such as scikit\-learn, PyTorch, or TensorFlow depending on the use case.** * Participate in the full model lifecycle: from data exploration to deployment and production monitoring. * Collaborate with multidisciplinary teams using agile methodologies, proposing technical and process improvements. **What is the challenge of this role?** The main challenge will be developing scalable **machine learning and data pipeline solutions** on **Google Cloud Platform (GCP)**. This role combines experimentation, engineering, and production deployment, making it a key position within our data team. **When and where will you work?** **You will work in a 100% virtual mode, exclusively for residents in AMBA, Buenos Aires (Argentina). Monday to Friday, from 09:00 to 18:00.** **Who will you work with?** You will work closely with the Data Science team and collaborate critically with Product and Technology teams, serving as a key bridge for communicating results and implementing technical solutions. **What tools will you work with?** **Python, SQL, Google Cloud Platform (GCP), BigQuery, Dataflow, and Vertex AI. As well as tools and frameworks for MLOps, monitoring, and model deployment.** **What do they offer?** * **Direct employment relationship.** * **Home Office.** * **Discounts/benefits platform.** * **Health insurance for employee and family.** * **Career growth opportunities.** **What stages does the selection process involve?** You will have an initial interview with our Recruiter, **Lorena Dos Santos Moraes**, to discuss your professional background and interests. **Then, with the hiring company, you will have two additional stages** with Human Resources and the technical team.