ML Ops Engineer: Deploy & Fine-Tune AI Models

JPMorgan Chase & Co.; Buenos Aires; Presencial; ARS 129.584.000 - 172.779.000; Jornada completa

Descripción de la vacante

A leading financial services firm is seeking a Machine Learning Data Scientist Specialist in Buenos Aires. The role involves developing, deploying, and optimizing machine learning models, fine-tuning algorithms, and integrating capabilities into products. Ideal candidates will have expertise in ML, data science, cloud services, and strong coding skills. You will collaborate with teams and enhance predictive data capabilities, making a significant impact in the organization.

Responsabilidades

• Research, develop, and optimize machine learning models for various applications/web use interface.
• Fine-tune pre-trained models using domain-specific datasets.
• Implement, evaluate, and improve ML pipelines to enhance model performance.
• Design efficient training workflows and optimize inference performance.
• Work with cross-functional teams to integrate ML capabilities into products.
• Conduct rigorous testing and benchmarking of ML models.

Conocimientos

ML algorithms

Statistical modelling

Predictive analytics

Data preprocessing

Feature engineering

Data visualization

Exploratory data analysis

Cloud computing services

MLOps tools

Big data technologies

Python

R

Scala

Scikit-Learn

Pandas

NumPy

Problem-solving

Descripción del empleo

A leading financial services firm is seeking a Machine Learning Data Scientist Specialist in Buenos Aires. The role involves developing, deploying, and optimizing machine learning models, fine-tuning algorithms, and integrating capabilities into products. Ideal candidates will have expertise in ML, data science, cloud services, and strong coding skills. You will collaborate with teams and enhance predictive data capabilities, making a significant impact in the organization.