Ofertas de empleo para machine-learning

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

. TSQL R Machine Learning Power BI Tableau

• Role Purpose
  
  

• Key Responsibilities
• Build and maintain dashboards, reports, and visualizationsto support operational and strategic decision-making in Aftermarket Sales.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for improvement in customer behavior, product performance, and sales channels.
• Develop and maintain forecasting analyses/models (e.g. demand, revenue, customer behavior) to help improve planning and prioritization.
• Collaborate closely with sales, aftermarket, operations, and management to understand business questions and translate them into analytical solutions.
• Define and track KPIs and metrics relevant to aftermarket performance, customer segmentation, and commercial efficiency.
• Use data to prioritize customers, regions, and product lines, supporting a more targeted commercial approach.
• Communicate insights and recommendations clearly to both technical and non-technical stakeholders, using storytelling and visual analytics.
• Work with data engineers and IT teams to ensure data availability and reliability for analytical use (providing requirements and feedback on data quality and structure).
• Qualifications
• Proven experience as a Data Analyst or BI Analyst, preferably in industries with complex assets (e.g., maritime, manufacturing, logistics, or similar).
• Strong skills in SQL for data extraction and analysis.
• Proficiency in at least one programming language for data analysis (e.g., Pythonor R).
• Hands-on experience with data visualization tools such as Power BI, Tableau, or Qlik.
• Solid understanding of data cleaning, transformation, and validation techniques from an analytical perspective.
• Strong problem-solving skills and ability to translate business needs into analytical questions and insights.
• Excellent communication skills, with the ability to explain analytical findings and trade-offs to both technical and non-technical audiences.
• Comfortable working with data that comes from multiple systems, including legacy systems (with support from data/IT teams).
• Experience working in maritime, logistics, or other asset-heavy industries.
• Exposure to data warehousing or data lake environments from an analytical user perspective.
• Familiarity with forecasting methods and basic statistical or machine learning models for commercial use cases.
• Opportunity to directly shape how data is used in Aftermarket Sales in a leading maritime company.
• Work on a wide variety of products and assets, both new and legacy.
• A collaborative environment with direct impact on company decision-making.
• Competitive salary and benefits package.
• Nice to Have
• Experience working in maritime, logistics, or other asset-heavy industries.
• Exposure to data warehousing or data lake environments from an analytical user perspective.
• Familiarity with forecasting methods and basic statistical or machine learning models for commercial use cases
• What We Offer
• Opportunity to directly shape how data is used in Aftermarket Sales in a leading maritime company.
• Work on a wide variety of products and assets, both new and legacy.
• A collaborative environment with direct impact on company decision-making.
• Competitive salary and benefits package.

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

Teletrabajo . Machine Learning

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist. Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of data analysis, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com.

Come work with intensely curious people dedicated to innovation, growth, and protecting customers against cybercrime and fraud!

Role Overview

The Spain Sales Account Manager is a team member in the BioCatch commercial EMEA team.

The role is focused on driving BioCatch account management and sales activities in Spain’s Banking and Financial Services market:

• Key focus areas include:
• Primarily looking after tier 1 and tier 2 financial services accounts in Spain.
• Building deep customer relationships.
• Executing a developed strategic account plan for new, upsell, and cross-sell opportunities.
• Driving high customer satisfaction in those accounts.

BioCatch seeks a dynamic, energetic, and entrepreneurial sales professional to develop sales revenues from existing and new customers.

This role will be

responsible for the entire sales process from inception to successful

conclusion, including cultivating whitespace opportunities, prospecting in the

named accounts, qualification, pipeline management, negotiation, and

closing.  

• Develop sales revenues from named existing BioCatch accounts with an emphasis on developing new business from within the assigned target accounts.  
• Drive a strategic account plan for named accounts, including opportunity management through successful deal closure, while maintaining a dynamic and consultative approach.
• Establish, cultivate, and develop strategic partnerships with customers, channel, and technology partners to execute BioCatch’s GTM strategy.
• Collaborate with the executive management and BioCatch leadership to exceed sales objectives, expanding BioCatch’s customer success.
• Work in partnership with the EMEA commercial team, including Business Development, Cyber Strategy, Pre-Sales/Sales Engineering, and Account Management functions to maximize revenue and technology adoption whilst retaining accountability for customer satisfaction.
• Develop and enhance BioCatch’s strong brand within our strategic accounts.
• Successfully execute strategic and operational sales and marketing activities, and represent BioCatch at relevant events.
• Accurately manage forecasts, including pipeline management and company reports.

• 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 Ph D 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
• Publicada23 dic.

. 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
• Publicada23 dic.

Java Python Agile TSQL Azure NoSQL Scrum Docker Cloud Coumputing Kubernetes Scala Oracle Hadoop AWS R Kafka Spark Big Data Machine Learning Salesforce Office

Company Description

Talan - Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we´ve built a strong presence in the IT and consulting landscape, and we´re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise
- Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
- Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
- Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Job Description

The Technical Expert - Data & AI is responsible for providing technical leadership, advanced expertise, and deep knowledge in data and artificial intelligence to design, build, optimize, and support data and AI platforms, pipelines, and architectures. The role acts as a technical reference within the CIO organization, ensuring that data and AI initiatives are robust, scalable, secure, and aligned with business strategy and the group´s data governance framework.

Key Responsibilities

Platform leadership, build, and maintenance:
Define standards, best practices, and frameworks for the construction, deployment, and maintenance of data and AI infrastructures (on-premises, cloud, or hybrid).

ML/AI model implementation and operations:
Participate in the implementation and deployment of machine learning, deep learning, and AI models, ensuring integrity, performance, monitoring, and ongoing maintenance.

Technical validation and tool evaluation:
Evaluate new technologies, tools, and platforms (open source, commercial, cloud) to optimize the data/AI ecosystem; lead proof-of-concepts (PoCs) and benchmarking activities.

Architecture definition and solution design support:
Support the design of data and AI technical solutions - including data pipelines, data lakes/warehouses, streaming, MLOps, and analytics platforms - to meet strategic objectives.

Integration and deployment:
Coordinate the integration of data and AI solutions with other corporate systems, ensuring compatibility, security, and efficiency.

Governance, security, and compliance:
Ensure solutions comply with data governance, security, privacy, and regulatory standards (e.g., data regulations, internal policies).

Technical support and mentoring:
Act as a technical point of reference by resolving questions from architects, data engineers, and data scientists; guiding and reviewing technical designs; and promoting best practices and standards.

Cross-functional collaboration:
Work closely with business, analytics, cybersecurity, infrastructure, and compliance teams to ensure alignment between business needs, regulations, and technical capabilities.

Documentation and technical communication:
Document architectures, processes, and technical decisions; communicate risks, technical decisions, and project status to the CIO and relevant stakeholders.

Continuous innovation:
Stay current with emerging trends in AI, big data, MLOps, automation, cost optimization, and performance. Promote piloting of new technologies when appropriate.

Qualifications
- Minimum of 5-8 years of relevant experience in advanced technical roles related to data, big data, cloud, AI, ML, or data engineering.
- At least 3 years of experience designing and architecting data/AI solutions in complex environments (large-scale data, security/regulatory constraints, corporate environments).
- Hands-on experience implementing data pipelines, data lakes/warehouses, ingestion processes, transformation, and batch and/or streaming processing.
- Experience deploying ML/AI models into production using MLOps best practices, including monitoring and maintenance.

Strong Technical Knowledge

Programming languages:

Python, SQL. Preferred: Scala, Java, R.

Platforms / Big Data / Cloud:
Experience with cloud services (AWS, Azure, GCP) or hybrid/on-prem environments. Knowledge of tools such as Spark, Databricks, Hadoop, Kafka, Airflow, Trino, etc.

Databases and modeling:
Relational and dimensional modeling; NoSQL databases (document, key-value, columnar); data lakes and data warehouses.

Machine Learning / AI / MLOps:
ML/AI frameworks, training and inference pipelines, orchestration, containers (Docker, Kubernetes), deployment, monitoring, and model versioning.

Infrastructure & automation:
Infrastructure as Code (IaC), containers, orchestration, CI/CD pipelines, and automation tools.

Security and compliance:
Knowledge of data governance regulations, data protection, encryption, access control, and security best practices.

Additional Information

What do we offer you?
- Hybrid position based in Malaga, Spain
- Possibility to manage work permits.
- Permanent, full-time contract.
- Smart Office Pack so that you can work comfortably from home.
- Training and career development.
- Benefits and perks such as private medical insurance, life insurance, Language lessons, etc
- Possibility to be part of a multicultural team and work on international projects.

If you are passionate about data, development & tech, we want to meet you!

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 dic.

Teletrabajo Machine Learning

´Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales?

En Deloitte estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti.

Desde nuestro equipo de Deloitte Engineering Center, estamos buscando profesionales que tengan experiencia en desarrollo con Appian.

Responsabilidades

- Diseñar e implementar soluciones de hiperautomatización utilizando las últimas tecnologías.
- Asesorar a los clientes en la selección y adopción de soluciones de hiperautomatización.
- Gestionar proyectos de hiperautomatización.
- Generar documentación técnica y de usuario.

Tecnologías con las que trabajarás

Trabajaremos con las tecnologías englobadas dentro de la hiperautomatización, especializándote en algunas de ellas:
- - RPA
- BPM y gestión de workflows
- Low Code
- IA (desde machine learning a IA Generativa)
- IDP (Intelligent Document Processing)
- Asistentes virtuales
- Process y Task Mining
- Herramientas de visualización de datos

¿Cómo es trabajar en Deloitte?
Proyectos de alto impacto donde tendrás un largo recorrido y aprendizaje

Un día a día híbrido-flexible: tendrás horario flexible y un buen equilibrio entre el teletrabajo y el trabajo en equipo en nuestras oficinas o las de nuestros clientes

Buen ambiente dentro y fuera de la oficina: disfrutarás de varios teambuildings al año, actividades culturales y deportivas... ¡y mucho más!

Bienestar integral: cuídate con nuestro programa de salud física, mental y financiera... ¡y con equipo médico en las oficinas!

Impacto social: Podrás apuntarte a una gran cantidad de voluntariados de alcance nacional e internacional y a proyectos pro-bono con los que poner tu tiempo y talento al servicio de quienes más lo necesitan

Cultura del feedback y aprendizaje continuo: crecerás en un entorno inclusivo donde la igualdad de oportunidades y tu plan personalizado de formación impulsarán tu desarrollo. ¿Ya te visualizas en la Deloitte University de París?

Beneficios exclusivos por ser parte de Deloitte: podrás disfrutar de un gran catálogo de beneficios y de un completo plan de retribución flexible

Si te gusta lo que lees, estos son tus próximos pasos:
- Aplica a la oferta haciendo clic en ´Enviar candidatura ahora´ y completa tu perfil
- Si encajas en el puesto, nuestro equipo de talento te contactará para conocerte mejor

¡Comienza el proceso! Te iremos guiando por las diferentes fases hasta tu incorporación.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 dic.

. Python TSQL R Office Machine Learning Power BI

Somos Plexus Tech, una tecnológica con más de 5.000 profesionales desarrollando productos y servicios de innovación que mejoran la vida de personas y compañías.

Con más de 20 centros de trabajo en España y presencia por todo el mundo, damos servicio a casi el 80% de las empresas del IBEX35.

Con 25 años de experiencia, trabajamos en sectores como banca, seguros, industria, retail, hospitality, viajes, sanidad y servicios sociales

Estamos buscando un especialista en Innovación y proyectos para trabajar de forma hibrida ( 2 días en semana) en Palma de Mallorca.

¿Qué harás?

• Liderar proyectos transversales
• Definir requisitos funcionales, evaluar soluciones y gestionar cambios.
• Coordinar proyectos de automatización y analítica junto al equipo de datos.
• Detectar oportunidades de innovación en tecnologías emergentes (automatización, IA, optimización).

Perfil que buscamos:

Formación: Ingeniería, Administración de Empresas o similar.

Experiencia: 2-5 años en gestión de proyectos, mejora de procesos (BPM), automatización y gestión del cambio.

Habilidades técnicas:

• Microsoft Office avanzado.
• Conocimientos en SQL, Power BI.
• Valorable: R, Python, estadística, técnicas de Machine Learning.

Competencias:

Liderazgo, orientación a resultados, comunicación efectiva y capacidad de coordinación.

Idiomas: Inglés fluido (oral y escrito).

¿Qué Ofrecemos?

• Participar en proyectos innovadores con impacto real, en sectores clave, con tecnologías punteras y clientes nacionales e internacionales.

• Retribución flexible para optimizar tu salario, con ventajas fiscales en tickets restaurante, transporte, guardería, seguro médico y más, adaptados a ti.

• Formación continua y desarrollo profesional, con acceso a certificaciones y herramientas digitales como LinkedIn Learning para que nunca dejes de crecer.

• Un entorno BabyFriendly, donde celebramos cada nuevo bebé con un kit especial y promovemos la conciliación para avanzar en igualdad

Compromiso con la igualdad

Plexus Tech mantiene un compromiso firme con las políticas de Igualdad de empresa. Todos nuestros procesos de selección tienen en cuenta la igualdad de oportunidades entre hombres y mujeres de forma transversal, quedando esto reflejado en nuestro Plan de Igualdad.

Fomentamos la igualdad de trato y de oportunidades para toda persona, de modo que ninguna razón de nacimiento, raza, sexo, religión, opinión o cualquier otra condición o circunstancia personal o social cause discriminación. En particular, la organización está comprometida con la creación de un contexto favorable a la diversidad y avance en la erradicación de la discriminación de las personas LGTBI, independientemente de su orientación e identidad sexual o su expresión de género

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 dic.

Teletrabajo . Cloud Coumputing Machine Learning Office

Ubicación:

Madrid, ES, 28046

Fecha de publicación: 7 nov 2025

¿Te defines por tu talento y tu visión?

Entonces, tú también puedes marcar la diferencia. Únete a un entorno profesional que contribuye a la transformación de empresas y sociedad. Alcanza tus metas, supera tus límites y únete a una firma que va más allá de los servicios profesionales.

Porque marcar la diferencia no es solo algo que decimos. Es lo que hacemos.

Desarrolla tu carrera con nosotros.

Desde el equipo de LIGHTHOUSE, nuestro centro de excelencia de Data & Analytics, Inteligencia Artificial & Tecnologías Emergentes, ayudamos a nuestros clientes a encontrar la eficiencia y el alto rendimiento en todas sus funciones TIC, tanto internas como externas hacia sus unidades de negocio y proveedores: buscando la máxima eficiencia en la operación de sus servicios y ajustando sus costes; así como incrementando su trascendencia en la cuenta de resultados y facilitando la innovación.

Actualmente nos encontramos en búsqueda de un/a Manager de Estrategia de Inteligencia Artificial, quien será responsable de definir, coordinar y acelerar la implantación de la estrategia de IA en los clientes.

Su rol consistirá en integrar tecnología con visión de negocio, liderando la definición de la estrategia de IA, la priorización de casos de uso, el diseño del modelo operativo y de gobierno, asi como el análisis del impacto generado.

Será un referente para las organizaciones en la creación y madurez de oficinas de IA (AI Office) y en el desarrollo de agentes y sistemas inteligentes que escalen la adopción de la IA de forma segura, responsable y eficiente.

¿Qué podrás hacer?

      

•      Definirás estrategias de IA alineadas con los objetivos de negocio y las capacidades tecnológicas del cliente.
  
  

•      Diseñarás modelos operativos de IA, incluyendo estructura organizativa, roles, procesos y mecanismos de decisión.
  
  

•      Liderarás el diseño e implantación de oficinas de IA (AI Office) y sus funciones: estrategia, gobierno, priorización, desarrollo, ética, cumplimiento...
  
  

•      Dirigirás proyectos de transformación de IA , automatización y agentes IA, asegurando la coherencia entre negocio, datos y tecnología.
  
  

•      Impulsarás el marco de gobierno de IA, definiendo políticas, responsabilidades, principios éticos, trazabilidad y mecanismos de control.
  
  

•      Realizarás el análisis y seguimiento del rendimiento de los modelos de IA, incluyendo KPIs técnicos, de negocio y de adopción.
  
  

•      Identificará y priorizará casos de uso de IA, elaborando business cases, análisis de viabilidad y modelos de retorno de inversión.
  
  

•      Coordinarás equipos multidisciplinares (estrategia, data science, legal, riesgo, tecnología, operaciones), garantizando entregables consistentes y de calidad.
  
  

•      Contribuirás al desarrollo de frameworks, metodologías y activos propios en el ámbito de estrategia y gobierno de IA.
  
  

•      Acompañarás al cliente en la creación de capacidades internas, fomentando una cultura de IA responsable, formación y gestión del cambio.
  
  

•      Analizarás y harás seguimiento de tendencias tecnológicas y regulatorias, anticipando oportunidades y riesgos emergentes.
  
  

•      Apoyarás la actividad comercial, participando en propuestas, workshops y sesiones con alta dirección.
  
  

•      Titulación universitaria STEM: Ingeniería, Matemáticas, Física, Estadística, Informática o similares.
  
  

•      Valorable máster en Inteligencia Artificial, Ciencia de Datos o MBA complementario.
  
  

•      6–10 años de experiencia total, con al menos 3–5 años liderando proyectos de IA en consultoría estratégica o tecnológica.
  
  

•      Experiencia demostrada en definición de estrategias de IA, modelos de gobierno y diseño de oficinas de IA (AI Office).
  
  

•      Participación previa en proyectos de IA generativa, machine learning, automatización o agentes de IA, con impacto directo en negocio.
  
  

•      Capacidad probada para asesorar a dirección general y C-level, gestionar equipos multidisciplinares y entornos de alta complejidad.
  
  

•      Dominio del ecosistema de IA: modelos fundacionales, agentes autónomos, IA generativa, automatización inteligente y plataformas cloud.
  
  

•      Conocimiento básico de principios y estándares de IA responsable (RGPD, RIA, ISO 42001, NIST AI RMF).
  
  

•      Conocimiento profundo de modelos de gobierno y marcos de gestión de riesgo de IA.
  
  

•      Capacidad analítica y estratégica para traducir capacidades técnicas en impacto medible.
  
  

•      Habilidades de comunicación en entornos directivos.
  
  

•      Inglés avanzado (mínimo C1) y capacidad para trabajar con equipos y clientes internacionales.
  
  

• Un gran ambiente de trabajo, tanto dentro como fuera de la oficina
• Oportunidades internacionales y red de contactos global
• Formacióncontinuay plan de carrera a tu medida
• Salario competitivo y plan de remuneración flexible
• 31 días laborables de vacaciones
• La tarde de tu cumpleaños libre
• Flexibilidad y posibilidad de teletrabajo
• Acceso a Kteam, nuestra plataforma de bienestar, servicios, solidaridad y promociones
• Los beneficios pueden variar para programas de becas y/o prácticas
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 dic.

. Python R Machine Learning

Company Description

The Image and Signal Processing (ISP) group focuses on developing advanced artificial intelligence (AI) methods to analyze and understand complex systems like the visual brain, Earth and climate systems, and human interactions. By integrating statistical learning theories with knowledge of physics, biological vision, and specific system processes, the group addresses interdisciplinary challenges. These challenges often involve mathematical approaches such as model inversion, uncertainty estimation, and causal inference.

Role Description

This is a full-time, on-site role for a Non-Doctor Researcher located in Paterna. The selected candidate will work in developing and applying AI-driven solutions to analyze the Earth system. Tasks include data analysis, conducting research, testing algorithms, preparing reports, and collaborating with interdisciplinary teams to solve real-world problems related to visual processing, environmental systems, and human interactions.

Qualifications

• Strong foundation in Statistical Learning, Machine Learning, and AI development
• Proficiency in Data Analysis, Programming, and Algorithm Development
• Experience with Model Inversion, Uncertainty Estimation, and Causal Inference
• Foundation Models, Deep Learning, Geometric DL
• Optimal transport
• Excellent research, analytical thinking, and problem-solving skills
• Experience in interdisciplinary collaboration and knowledge of physics or climate systems is a plus
• Master’s degree in Computer Science, Mathematics, Physics, or a related field is required
• Working knowledge of programming languages such as Python, R, Julia
• Excellent communication skills to articulate research findings and collaborate effectively