12 publicaciones de empleo destacadas en machine learning engineer (¡Están contratando!)

Senior AI Engineer
EPAM Systems, Inc. —Desde casa
2d
Lead AI Engineer
EPAM Systems, Inc. —Desde casa
2d
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Buenos Aires, Buenos Aires
- Tiempo completo
13d
Cloud DevOps Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Test Automation Engineer Senior-Level
Globant —Buenos Aires, Buenos Aires
Backend AI Engineer (SR) – Python / Azure OpenAI / Semantic Kernel (Híbrido)
Talent Connect —Capital Federal, Buenos Aires
Data Engineer with Azure, Senior-Level
Globant —Buenos Aires, Buenos Aires
5d
DevOps Engineer with Azure Senior Level
Globant —Buenos Aires, Buenos Aires
6d
Data Scientist, Applied AI - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Business Data Scientist - CFO
Accenture —Buenos Aires, Buenos Aires
- Tiempo completo
AI Engineer
Modus Digital —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Customer Engineer, Practice, Application Modernization, Google Cloud (Spanish, English)
Google —Buenos Aires, Buenos Aires
- Tiempo completo
2d

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Senior AI Engineer

EPAM Systems, Inc. -
Desde casa

Postulate ahora

Detalles del empleo

Hace 2 días

Descripción completa del empleo

We are looking for a Senior AI Engineer to help modernize insurance technology through next-generation Agentic AI solutions. You will join a global team creating intelligent products that streamline complex insurance processes, allowing brokers to devote more time to strategic decisions and customer relationships

Responsibilities

Assess insurance broking processes to uncover valuable opportunities for AI-driven automation and improvement
Architect, build, and release enterprise-ready AI products that simplify complex insurance-related workflows
Develop intelligent applications using Large Language Models, Retrieval-Augmented Generation, document intelligence, information extraction, classification, and agentic solution patterns
Partner with brokers, underwriters, and operational stakeholders to translate real business needs into scalable technical solutions
Lead AI initiatives throughout the full delivery cycle, from early discovery and proof of concept through production rollout, monitoring, and iteration
Establish comprehensive evaluation practices for AI systems, covering quality testing, performance tracking, observability, and hallucination identification
Promote fast-paced experimentation by applying current AI engineering tools, methods, and delivery practices
Use automation to increase productivity, shorten processing timelines, and improve operational outcomes across the business
Support the growth of other engineers through mentoring and by championing dependable AI engineering standards
Investigate emerging AI capabilities and apply relevant innovations to challenges within the insurance sector

Requirements

At least 3 years of professional experience in software engineering, artificial intelligence, machine learning, or a closely related technical discipline
Strong programming capability in Python and TypeScript for developing and maintaining AI-enabled applications
Proven experience taking AI products from initial concept and prototyping through successful production deployment
Practical expertise working with machine learning techniques, models, and Large Language Models
Familiarity with modern engineering workflows, including continuous integration and continuous delivery pipelines as well as containerized deployments
Well-developed analytical and troubleshooting skills for resolving complex technical and business problems
Effective communication skills with the ability to clearly present technical topics to non-technical business audiences
English proficiency at B2 level or above, both written and spoken

Nice to have

Experience with reinsurance or insurance underwriting operations and the workflows that support these functions
Knowledge of the insurance industry, including its business processes, systems, and regulatory considerations
Exposure to Infrastructure as Code practices, particularly for implementing secure and repeatable cloud environments
Familiarity with monitoring and observability solutions for tracking the reliability, performance, and behavior of production systems
Technical leadership experience, including guiding engineering decisions and supporting teams in delivering high-quality solutions

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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Refiná tu búsqueda

machine learning engineer empleos

Senior AI Engineer

Lead AI Engineer

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Cloud DevOps Engineer - Latin America - Remote

Test Automation Engineer Senior-Level

Backend AI Engineer (SR) – Python / Azure OpenAI / Semantic Kernel (Híbrido)

Data Engineer with Azure, Senior-Level

DevOps Engineer with Azure Senior Level

Data Scientist, Applied AI - Remote

Business Data Scientist - CFO

AI Engineer

Customer Engineer, Practice, Application Modernization, Google Cloud (Spanish, English)

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