Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company.

With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI.

Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

About the role: We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation.

This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication.

You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.

Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Spain) Experience Level: Bachelors or Masters or PhD in Linguistics or a related field.

Key Responsibilities: Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.

Identify and resolve issues related to ambiguity, bias, and grammaticality.

Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.

Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.

Support internal teams by conducting linguistic research and summarizing findings.

Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.

Qualifications: Deep understanding of linguistic theory and language structure.

Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.

Strong writing, editing, and communication skills.

Deep understanding of linguistic theory and language structure.

Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.

Strong writing, editing, and communication skills.

If Interested, kindly send your resume at: ******.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.About the role:We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Spain)Experience Level: Bachelors or Masters or PhD in Linguistics or a related field.Key Responsibilities:Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.Identify and resolve issues related to ambiguity, bias, and grammaticality.Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.Support internal teams by conducting linguistic research and summarizing findings.Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.Qualifications:Deep understanding of linguistic theory and language structure.Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.Strong writing, editing, and communication skills.Deep understanding of linguistic theory and language structure.Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.Strong writing, editing, and communication skills.If Interested, kindly send your resume at: ******.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Python TSQL Excel Machine Learning Power BI Tableau

¿Te interesa desarrollar tu carrera en una empresa gestora de fondos y patrimonios en pleno crecimiento? Buscamos una persona Analista de datos financieros y contables para incorporarse al equipo central de reporting y control.

QUÉ OFRECEMOS

- Contrato indefinido y estabilidad profesional.

- Salario competitivo acorde con la experiencia.

- Plan de formación y desarrollo profesional continuo.

- Entorno inclusivo y colaborativo que fomenta la diversidad y el respeto.

Responsabilidades principales

Análisis y reporting financiero

• Procesar, depurar y consolidar datos financieros y contables procedentes de distintas fuentes (herramientas contables, custodia, sistemas de inversión, Excel, bases de datos).
• Elaborar informes periódicos de resultados, rentabilidad, riesgos y posiciones para gestores, dirección y clientes.
• Automatizar procesos de reporting mediante scripts, macros o herramientas de BI para mejorar la eficiencia y la calidad del dato.
• Colaborar en el cierre contable mensual y en la preparación de estados financieros y cuadros de control de fondos y costes de gestión.

Control, validación y mejora de datos

• Validar la consistencia de los datos contables y de cartera, identificar y resolver discrepancias con custodia y contrapartes.
• Definir y aplicar controles y procedimientos para garantizar la integridad y trazabilidad del dato.
• Participar en proyectos de mejora de calidad de datos y en la implementación de nuevas fuentes o integraciones.
• Aplicar técnicas básicas de IA y machine learning para identificar patrones, predecir costes o detectar anomalías.

Soporte operativo y cumplimiento

• Dar soporte a equipos de inversión, operaciones y cumplimiento en cuanto a consultas sobre contabilización, valoración y cargas fiscales.
• Colaborar en la preparación de documentación y reportes regulatorios y de clientes.
• Mantener actualizados los manuales y procedimientos internos relacionados con el tratamiento de datos financieros y contables.
• Diseñar dashboards e informes dinámicos para la dirección

Requisitos

Formación y experiencia

• Grado en Economía, ADE, Finanzas, Contabilidad, Matemáticas, Estadística o formación similar.
• Experiencia previa de al menos 2 años en puestos de análisis de datos financieros, contabilidad en gestoras, banca o auditoría (valorándose experiencia en fondos y patrimonio), control de gestión y automatización.

Conocimientos técnicos y herramientas

• Dominio avanzado de Excel (tablas dinámicas, fórmulas complejas y macros) y experiencia con bases de datos (SQL).
• Experiencia con herramientas de reporting / BI (Power BI, Tableau u otras) y sistemas contables o de gestión de inversiones.
• Conocimientos de valoración de activos, contabilidad financiera y normativa aplicable a fondos y patrimonios.
• Uso intensivo de IA a nivel profesional.
• Automatizar procesos y reportes mediante Python y Power BI.

Competencias y habilidades

• Capacidad analítica, orientación al detalle y rigor en el tratamiento del dato.
• Habilidades de comunicación para presentar resultados a equipos financieros y no financieros.
• Organización, proactividad y capacidad para trabajar en entornos con plazos y prioridades cambiantes.
• Nivel alto de español e inglés (oral y escrito).
• Disponibilidad para trabajar en horario de oficina; posibilidad ocasional de jornada intensiva
• Ubicación en oficina central en centro de Barcelona.

Qué ofrecemos

• Contrato indefinido, jornada completa y paquete retributivo competitivo de 27 a 35 k en función de aportación de valor.
• Plan de formación continua, posibilidad de desarrollo profesional en áreas de reporting, control y operaciones de inversión.
• Entorno de trabajo colaborativo, con proyectos transversales y tecnologías modernas.
• 100 % presencial

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo Python TypeScript AWS Flask Machine Learning

• Empresa estable
• Oportunidades de Crecimiento

¿Dónde vas a trabajar?

Empresa europea líder en deep-tech, especializada en soluciones de Inteligencia Artificial y computación cuántica, respaldada por inversores globales y apoyo de la UE. Reconocida como una de las compañías más prometedoras en IA, ofrece un entorno multicultural, innovador y con impacto real en la industria

Descripción

• Desarrollar y mantener software escalable y de alta calidad para soluciones de IA y computación cuántica.
• Colaborar con expertos en Quantum y Machine Learning para industrializar tecnologías avanzadas.
• Diseñar y optimizar arquitecturas de software y flujos de aplicaciones eficientes.
• Implementar sistemas en la nube (AWS) y gestionar pipelines CI/CD.
• Trabajar en proyectos con clientes Fortune-500 y equipos internacionales en un entorno dinámico.

¿A quién buscamos (H/M/D)?

• Formación en Ingeniería Informática o experiencia equivalente.
• Dominio de Python y conocimientos en Rust, C/C++, TypeScript.
• Experiencia en desarrollo backend y frontend, frameworks como Flask o FastAPI.
• Conocimientos en despliegue en la nube (AWS) y CI/CD.
• Habilidad para escribir código limpio, documentado y mantenible.
• Excelentes habilidades de comunicación y capacidad para trabajar en equipos multidisciplinares.
• (Se valorará experiencia con LLMs, frameworks como HuggingFace, y computación distribuida).

¿Cuáles son tus beneficios?

• Salario desde 45.000 € anuales (según experiencia).
• Dos bonus únicos: de incorporación y de retención al finalizar contrato.
• Contrato temporal hasta junio de 2026.
• Modalidad híbrida y horarios flexibles.
• Paquete de reubicación (si aplica).
• Oportunidad de trabajar en una empresa deep-tech en rápido crecimiento, con exposición internacional y proyectos disruptivos.

• Nivel de experiencia---
• Tipo de contratoConsultor
• PublicadaNueva

. Python Machine Learning

Predoctoral Research Position – IberianCAMELS Project

Development of an environmental flows decision support system based on large-sample hydrology and machine learning techniques (IberianCAMELS).

About The Project

IberianCAMELS is a 3-year research project aimed at developing a decision support system (DSS) for evaluating ecological flow regime scenarios across the Iberian Peninsula. The project integrates large-sample hydrology (LSH) datasets, deep learning rainfall-runoff models, and hydrological alteration analyses to improve the identification and management of ecological flows in highly regulated river systems of Spain and Portugal.

A key component of the project is the creation of CAMELS-IB, the first comprehensive hydrometeorological database for the entire Iberian Peninsula, including information on reservoirs, catchment attributes, and long-term hydrological series. The work will involve data processing, programming, model implementation, statistical analysis, preparation of scientific papers, and participation in meetings, conferences and dissemination activities.

Key Responsibilities

Contribute to the construction, documentation and validation of the CAMELS-IB hydrological database.

Implement and test conceptual hydrological models at large spatial scales.

Apply and benchmark deep learning rainfall-runoff models (LSTMs and related architectures).

Support the analysis of hydrological alteration, ecological flow regimes, and generation of EFR scenarios.

Assist in developing the decision support system for ecological flow evaluation.

Prepare internal reports, contribute to scientific publications, and present results at national and international conferences.

Participate in team meetings and collaborate closely with all project partners.

Main Requirements

Required Bachelor's and master's degree in Civil Engineering, Environmental Engineering, Forestry Engineering, Hydrology, Geosciences, Environmental Sciences, Computer Science, or related fields.

Strong programming skills, preferably in Python.

Solid knowledge of hydrology, water resources, or environmental modelling.

Good spoken and written communication skills in English.

Ability to work independently and within a multidisciplinary team.

Desirable: Previous experience with hydrological modelling (conceptual or physically based).

Familiarity with machine learning techniques, particularly LSTMs or other deep learning architectures.

Experience with large datasets, geospatial analysis, or database development.

Knowledge of ecological flows, river basin planning, or hydrological alteration assessment.

Experience with open-source scientific workflows (GitHub, Zenodo, etc.).

Benefits and Work Environment

Full-time predoctoral contract aligned with national regulations for training of research staff.

Integration into an active, multidisciplinary research team with strong collaboration networks in Spain, Portugal, USA and Europe.

Access to computational facilities, open-source modelling frameworks, training opportunities, and participation in international conferences.

Support for scientific publications and PhD supervision by experienced researchers.

Dynamic and collaborative working environment committed to equality, professional development, and open science.

Term of contract: up to four years, aligned with the FPI framework, with renewal dependent on satisfactory progress and annual evaluation.

Salary

The salary will follow the official rates established by the corresponding national predoctoral funding programme (FPI or equivalent), including annual increases and full social security coverage.

Location

The research activities will be carried out primarily at the Desertification Research Centre (CIDE), a joint research institute of CSIC, Universitat de València and Generalitat Valenciana, located in Valencia (Spain). CIDE offers a vibrant scientific environment specialized in hydrology, ecological processes, climate impacts and land degradation, with access to dedicated laboratory spaces, meeting rooms and computational resources. Short research stays at partner institutions within the IberianCAMELS consortium may be supported.

Application Procedure

Motivation letter describing interest in the position and relevant experience.

Curriculum vitae (max. 3–4 pages).

Academic transcripts of Bachelor's and Master's studies.

Contact details of one or two references.

All documents should be sent in a single PDF file. Applications should be submitted via email with the subject "Predoctoral Position – IberianCAMELS" to: ******. Deadline 06/01/2025. Applications will be reviewed as they are received. Shortlisted candidates will be invited for an online interview.

Informal Inquiries

For informal questions about the position or the project, please contact: ******. We encourage candidates to get in touch before submitting their application if they have any doubts about suitability or project scope.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 ene.

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company.

With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI.

Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.About the role:We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation.

This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication.

You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Spain)Experience Level: Bachelors or Masters or PhD in Linguistics or a related field.Key Responsibilities:Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.Identify and resolve issues related to ambiguity, bias, and grammaticality.Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.Support internal teams by conducting linguistic research and summarizing findings.Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.Qualifications:Deep understanding of linguistic theory and language structure.Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.Strong writing, editing, and communication skills.Deep understanding of linguistic theory and language structure.Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.Strong writing, editing, and communication skills.If Interested, kindly send your resume at: ******.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 ene.

. Python C++ Machine Learning

CT es una empresa líder en tecnología, que proporciona servicios de innovación e ingeniería en los sectores aeronáutico, espacial, naval, automovilístico, ferroviario, energético y de plantas industriales. CT impulsa los límites de la tecnología a través de la innovación, y lleva la eficiencia a otro nivel cubriendo todo el ciclo de vida de los productos, desde el diseño y la fabricación hasta el soporte postventa. Con más de 30 años de experiencia, el éxito de CT está impulsado hoy en día por más de 1.800 ingenieros expertos repartidos en siete países, en tres continentes.

Actualmente, seleccionamos Ingenieros/as de Cálculo para participar en proyectos de cálculo estructural y simulación dentro del sector aeroespacial (ámbito civil y defensa). Buscamos ampliar el equipo con perfiles de diferente seniority (junior, middle o senior), con rol técnico o de gestión/liderazgo.

Responsabilidades

• Realizar análisis estructurales (estáticos, dinámicos y de fatiga) de componentes aeronáuticos utilizando metodologías analíticas y herramientas de elementos finitos (FEM).
• Elaborar modelos y simulaciones para evaluar la resistencia, deformación y comportamiento de materiales y ensamblajes.
• Emitir informes técnicos, documentación de cálculo y justificaciones de diseño conforme a normativas.
• Interpretación, uso y validación de resultados derivados de modelos de elementos finitos.
• Propuesta y desarrollo de scripts de automatización para procesos de cálculo o para la preparación y gestión de resultados derivados.
• Participar en revisiones técnicas internas y con cliente. Asegurar el cumplimiento de los estándares de calidad y seguridad propios del sector aeronáutico.
  
  

• Flexibilidad horaria para una mejor conciliación personal y laboral.
• Modalidad de trabajo híbrida (siempre que el proyecto lo permita).
• Desarrollo profesional continuo.
• Retribución competitiva.
• Clima laboral participativo, incluyente y dinámico. ¡Nos encanta trabajar en equipo!
• Formar parte del lugar donde los ingenieros aman trabajar.
  
  

• Grado en Ingeniería Aeroespacial (se podrán valorar titulaciones de Ingeniería Industrial, Mecánica o Naval con experiencia en el sector aeroespacial).
• Experiencia en modelado FEM, cálculos estáticos, F&DT y/o dinámica. Valoraremos muy positivamente haber participado en proyectos del sector aeronáutico pero no es imprescindible. Si tienes experiencia en otros sectores, también queremos conocerte.
• Manejo de SW de elementos finitos como Nastran, Hyperworks o Abaqus
• Manejo de SW específicos de cliente como Legacy Tools y/o ISAMI.
• Conocimiento en lenguajes de programación como Python, VBA o C++.
• Conocimientos en IA (Machine Learning, Deep Learning, modelos subrrogados...).
• Nivel alto de inglés (mínimo B2).
• Proactividad y capacidad de trabajo en equipo.
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 ene.

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company.

With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI.

Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

About The Role

We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation.

This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication.

You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.

Job Title: Linguistics Expert – AI Training & Content Writing

Key Responsibilities

Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.

Identify and resolve issues related to ambiguity, bias, and grammaticality.

Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.

Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.

Support internal teams by conducting linguistic research and summarizing findings.

Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.

Qualifications

Deep understanding of linguistic theory and language structure.

Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.

Strong writing, editing, and communication skills.

Next Steps

To proceed further in the evaluation process, you will need to complete two assessments:

Assessment Test

Evaluates your linguistic and analytical skills

Versant English Proficiency Test

Focuses on assessing your spoken and written English proficiency

Action Required: XConnect Registration

You will also receive an invitation to our internal job platform, XConnect.

Please take a few minutes to register and complete your profile.

All project onboarding, communication, and documentation are managed through this platform.

If interested, kindly share your resume at: ******

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 ene.

. Machine Learning

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

We seek a Digital Marketing Strategist Trainee who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

What will help you succeed:

• Advanced English skills.
• Possibility to sign an agreement with a University.
• Good communication skills
• Experience managing accounts, clients, and projects in digital marketing agencies, digital business consultancies, contact centers, or similar environments is a plus.
• Digital Marketing UX & UI
• Knowledge of digital marketing, lead management, marketing automation, and performance marketing is a plus.