20 publicaciones de empleo destacadas en machine learning / mlops (¡Están contratando!)

Senior AI Platform Backend Engineer (LLM)
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- Teletrabajo
- DevOps
- Oficina
- Máster
- Vacaciones pagadas
- Programa de recomendación
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- Teletrabajo
- DevOps
- SQL
- AWS
- Teletrabajo opcional
- Abono gimnasio
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Data Science & AI Training Specialist or AI Skills Lead
eDreams ODIGEO —Madrid, Madrid provincia
- Doctorado
- Informática
- Oficina
GCP AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
Data & AI Strategy Enterprise AI Architect Manager/Senior Manager
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Data Engineer
ESML SD Iberia Holding S A U —Los Montoyos, Alicante provincia
- Jornada completa
- Azure
- DevOps
- Inglés
Solicitud rápida
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Senior Data Engineer (Fintech)
Merlin Digital Partner —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Inglés
- AWS
Solicitud rápida
11d
Databricks Resident Solutions Architect (RSA) (m/f/*)
Ultra Tendency —En remoto
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
12d
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Máster
- SQL
AI Voice Agents Engineering Lead
ISB Santander Global Technology and Operations, S.L. —Santa Bàrbara, Tarragona provincia
- Jornada completa
- Azure
- Informática
- Máster
- Abono gimnasio
- Seguro de vida
AI Engineer / Backend Developer
Mindsight Ventures —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Investigación
SENIOR DATA SCIENTIST
Mango —Palau-solità i Plegamans, Barcelona provincia
- Incorporación inmediata
- Trabajo híbrido
- Servicio en mesas
- Azure
- Informática
- Flexibilidad horaria
- Teletrabajo opcional
Senior ML Engineer – Scientific & Engineering Data
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Doctorado
- Máster
- C++
Senior Data Platform / Data Engineer
Straumann Group —La Moraleja, Madrid provincia
- Jornada completa
- AWS
- Machine learning
- Python
Ingeniero de Datos
Berners Ads —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Bases de datos
- AWS
- Machine learning
Solicitud rápida
Senior AI Platform Engineer
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Doctorado
- Informática
Senior Rust Engineer
Appodeal —Barcelona, Barcelona provincia
- Oficina
- SQL
- C++
Solicitud rápida
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Senior AI Backend Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps

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Senior AI Platform Backend Engineer (LLM)

EPAM Systems, Inc. -
En remoto

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Detalles del empleo

Beneficios

Vacaciones pagadas
Programa de recomendación

Cualificaciones

TensorFlow
CI/CD
Derecho
DevOps
Máster
AWS
Machine learning
Deep learning
NLP
GitHub
Cloud
Keras
Inteligencia artificial
Jenkins
Python

Descripción completa del empleo

We are seeking a talented and proactive Senior AI Platform Backend Engineer (LLM) to join our team in Spain in a remote working mode and to lead the design, optimization and deployment of machine learning pipelines using MLOps in cloud environments. In this role, you will implement LLM-based solutions for chatbots and Retrieval-Augmented Generation (RAG) systems and develop robust DevOps/MLOps pipelines for production.

This position offers a flexible work setup, allowing for remote work or a hybrid arrangement, with occasional office visits.

Responsibilities

Maintain and enhance CI/CD pipelines using tools such as GitHub Actions, AWS CodePipeline, Jenkins or ArgoCD
Design and develop backend architecture for AI Verification and ChatGPT services utilizing Python and FastAPI
Build, optimize and scale classifiers and tools leveraging machine learning, encoders and rule-based models
Architect and implement solutions following Domain-Driven Design (DDD) and Test-Driven Development (TDD) best practices
Design, develop, and maintain a production-grade LLM-as-a-judge service for verifying AI-generated content from source documents, leveraging frameworks such as HuggingFace Transformers, SpaCy, NLTK, and BM25
Build and maintain high-throughput Retrieval-Augmented Generation (RAG) services, including ingestion pipelines and message brokers
Perform prompt engineering, including techniques such as Chain-of-Thought and Few-Shot Learning, across various LLMs (OpenAI, Anthropic, Google, etc.)
Provide hands-on expertise and support for one or more leading AI frameworks (TensorFlow, Keras, PyTorch, BERT, etc.)
Demonstrate technical leadership in at least one AI specialization, such as graph recommendation systems, deep learning or natural language processing

Requirements

Strong proficiency in Python and experience developing backend services with FastAPI
Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, AWS CodePipeline, Jenkins or ArgoCD
Hands-on experience designing and optimizing scalable machine learning models, including classifiers, encoders and rule-based systems
Experience working with large language models (LLMs) and frameworks such as HuggingFace Transformers, Spacy, NLTK and BM25
Proven ability to design, develop and maintain high-load Retrieval-Augmented Generation (RAG) services, including ingestion pipelines and message brokers

We offer

Private health insurance
EPAM Employees Stock Purchase Plan
100% paid sick leave
Referral Program
Professional certification
Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

Why Join EPAM
WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

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