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Machine Learning Engineer - Remote - 1737
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Pje. Centenario 130, C1405 Cdad. Autónoma de Buenos Aires, Argentina
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Description

What does the company do? A leading company in Argentina's digital media sector 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? On a personal level: Ability for critical thinking and solving complex data-driven problems. Ability to work independently, make technical decisions, and lead projects from start to finish. Clarity and precision in communicating results to Product and Technology teams. On a technical level: At least 4 years of experience in applied Data Science or Machine Learning. Advanced proficiency in Python and SQL \| Mandatory. Experience with Google Cloud Platform (GCP), including tools such as BigQuery, Dataflow, and Vertex AI. Experience in data modeling, defining productivity metrics, and automating reporting. Knowledge and/or hands-on experience in MLOps, monitoring, and deploying machine learning models. Advanced English \| Mandatory. What will you do? As a Machine Learning Engineer, you will be responsible for leading the full lifecycle of data-driven solutions, focusing on building and scaling products. Your key responsibilities will include: Designing and maintaining robust, scalable data pipelines in GCP. Leading the development and implementation of predictive models and indicators, specifically to measure and improve productivity. Ensuring machine learning solutions are robust, reproducible, and highly scalable in a production environment. Collaborating closely with Product and Technology teams to translate business needs into data science solutions. What is the challenge of the role? The main challenge is transforming information into tangible business value by building and scaling data-driven products. This involves not only developing highly accurate predictive models but also ensuring their robustness, reproducibility, and efficient deployment (MLOps) within GCP, directly impacting the company’s productivity. When and where will you work? You will work in a fully virtual mode, exclusively for residents of AMBA, Buenos Aires (Argentina). Monday to Friday, from 09:00 to 18:00. Who will you work with? You will work with the Data Science team and collaborate closely 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. In addition, 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 have? You will have an initial interview with our Recruiter, Lorena Dos Santos Moraes, to discuss your professional experience and interests. Then, with the hiring company, you will have two interviews with Human Resources and the technical team.

Source:  indeed View original post
Sofía González
Indeed · HR

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