14 publicaciones de empleo destacadas de data scientist, completions analytics en munro, b (¡Están contratando!)

Machine Learning Engineer II
Xometry —Buenos Aires, Buenos Aires
Postulación rápida
14d
System Engineer (Windows)
Capgemini —Buenos Aires, Buenos Aires
5d
Lead Accountant
Assurant —Buenos Aires, Buenos Aires
- Tiempo completo
Business Operations Specialist - EY GDS
EY —Capital Federal, Buenos Aires
Private Banker Semi Senior
BBVA —Retiro, Buenos Aires
- Tiempo completo
5d
Customer Marketing Manager
Time Doctor —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
3d
Account Executive
FeverUp —Capital Federal, Buenos Aires
Postulación rápida
Principal Software Architect
Assurant —Buenos Aires, Buenos Aires
- Tiempo completo
Director of Media Innovation (Performance Marketing)
CapsLock —Buenos Aires, Buenos Aires
Postulación rápida
Internal Account Director (Recruitment & Retention)
サイネオス・ヘルス —Buenos Aires, Buenos Aires
Clinical Scientist, Clinical Science, Cronos
IQVIA —Buenos Aires, Buenos Aires
- Tiempo completo
Manager Salesforce Sales Cloud
BBVA —Retiro, Buenos Aires
- Tiempo completo
2d
Site Care Partner - FSP
Parexel —Buenos Aires, Buenos Aires
Corporate Accounting Senior Analyst – US Client
PwC —Buenos Aires, Buenos Aires
- Tiempo completo

More jobs to discover

Find similar jobs that you might be interested in.

System Engineer (Windows)
Capgemini —Buenos Aires, Buenos Aires
Advanced PowerShellscripting skills for deployment automation and system configuration. Working knowledge of POS systems and peripheral device integration.
5d
Senior AWS Data Engineer
ON.energy —Capital Federal, Buenos Aires
Strong ownership of end-to-end data quality and system availability. Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions,…

Quiero recibir la alerta de empleo más reciente para data scientist, completions analytics en munro, b

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Machine Learning Engineer II

Xometry -
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 14 días

Descripción completa del empleo

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you'll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You'll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do:

Design, build, and optimize machine learning models to enhance Xometry's platform and business operations.
Analyze large datasets to extract meaningful patterns and insights.
Collaborate with cross-functional teams to integrate machine learning models into production systems.
Learn and apply best practices in model evaluation, performance tuning, and deployment.
Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Qualifications:

A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
Experience deploying and maintaining machine learning models in production environments.
4+ years of experience in machine learning, focusing on data engineering and/or data science.
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Remote

#Promoted

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Postulación rápida

Refiná tu búsqueda

data scientist, completions analytics empleos en munro, b

Machine Learning Engineer II

System Engineer (Windows)

Lead Accountant

Business Operations Specialist - EY GDS

Private Banker Semi Senior

Customer Marketing Manager

Account Executive

Principal Software Architect

Director of Media Innovation (Performance Marketing)

Internal Account Director (Recruitment & Retention)

Clinical Scientist, Clinical Science, Cronos

Manager Salesforce Sales Cloud

Site Care Partner - FSP

Corporate Accounting Senior Analyst – US Client

More jobs to discover

Quiero recibir la alerta de empleo más reciente para data scientist, completions analytics en munro, b

Related Searches

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado