15 publicaciones de empleo destacadas de machine learning en parque patricios, b (¡Están contratando!)

AI Developer - Senior - EY GDS
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Global Client Service Finance Lead - Associate Director - EY Global Delivery Services
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managementsolutions —Buenos Aires, Buenos Aires
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Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Sr DS Engineer - Antiscraping Security
Mercado Libre —Capital Federal, Buenos Aires
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Senior DevOps Engineer-AR
Globant —Buenos Aires, Buenos Aires
Senior Data Scientist
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Tech Director, Consumer Goods & Retail - Argentina
Globant —Buenos Aires, Buenos Aires
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Data Architect / Engineer
Appnovation Technologies —Capital Federal, Buenos Aires
Postulación rápida
20h
Senior Java Developer-AR
Globant —Buenos Aires, Buenos Aires
DevOps Engineer with Azure Senior Level
Globant —Buenos Aires, Buenos Aires
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Modus Digital —Capital Federal, Buenos Aires
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AI Developer - Senior - EY GDS

EY -
Capital Federal, Buenos Aires

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Detalles del empleo

Descripción completa del empleo

Locación: CABA

Otra ubicación: Solo ubicación principal

Salario: Competitiva

Fecha: 23 ago 2026

Descripción del trabajo

ID de la Requisición: 1719882

The opportunity

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development.

We’re looking for an AI Developer with hands-on expertise in AI, machine learning, LLM-based solutions, RAG systems and cloud-native development to join our EY-Advisory-DE Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering.

EY GDS Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives.

Your key responsibilities

Design, develop and implement AI/ML-powered solutions using LLMs, RAG architectures and prompt engineering best practices.

Build Python-based services, APIs and automation components to support scalable AI applications.

Integrate Azure OpenAI, Mistral, Qwen and other model providers into enterprise-grade solutions.

Design and implement agentic AI workflows using frameworks such as Auto-Gen and LangGraph.

Develop, train, validate and maintain machine learning/deep learning models using Scikit-learn, TensorFlow, Keras and N-BEATS where applicable.

Integrate data storage and retrieval capabilities using Azure Blob Storage, CosmosDB, MongoDB/NoSQL concepts, and SQL.

Deploy serverless and containerized components using Azure Functions, Docker and cloud-native engineering practices.

Create unit tests, maintain code quality, use GitHub for version control, and support delivery through modern development tooling.

Apply secure engineering practices including Linux server hardening and operational readiness considerations.

Collaborate with distributed teams, communicate technical decisions clearly and contribute to reusable delivery assets.

Skills and attributes for success

Technical attributes:

AI & ML: LLMs, Azure OpenAI, Mistral, Qwen, RAG Systems, Prompt Engineering, Agentic AI (Auto-Gen, LangGraph), N-BEATS, Scikit-learn, TensorFlow and Keras.

Cloud & Databases: Python (Expert), Azure Blob Storage, CosmosDB and MongoDB (NoSQL notions), SQL and Azure Functions.

Integration & Tools: REST APIs, GitHub, Docker, Unittest, VS Code and Linux Server Hardening.

Languages: Python (Specialized), Java, C++ and Rust.

Management attributes:

Experience communicating technical study conclusions through written reports and presentations using tools such as PowerPoint, Excel and Word.

Experience working under agile delivery methodology and collaborating with globally distributed teams.

Experience researching new products/tools, validating emerging technologies and developing rapid prototypes.

To qualify for the role, you must have

A bachelor's or master's degree.

Specialized Python development experience.

Hands-on experience with LLMs, Azure OpenAI, RAG systems and prompt engineering.

Experience with cloud-native development using Azure Functions and Azure storage/database services.

Experience building REST APIs and working with GitHub, Docker and unit testing practices.

Understanding of secure engineering practices including Linux server hardening.

What we look for

Excellent Communication Skills

Team Player

Self-starter and highly motivated

Ability to handle high pressure and fast paced situations

Excellent presentation skills

Ability to work with globally distributed teams.

Excellent written and oral communication skills.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

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machine learning empleos en parque patricios, b

AI Developer - Senior - EY GDS

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