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

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
• PublicadaNueva

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!

• 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.
  
  

¿Qué necesitas saber?

Formación académica (obligatoria):

      

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

      

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

Experiencia profesional:

      

•      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.
  
  

Conocimientos y habilidades:

      

•      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.
  
  

Ubicación: Madrid

Modelo de trabajo: híbrido

¿Qué valor añadido te podemos aportar?

• 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
  
  

Nuestro compromiso en KPMG es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social. Y es que cada persona tiene un valor único y especial que aportar a la firma.

Nuestros valores marcan la diferencia. Marca la diferencia, impulsa tu talento.

• 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

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

API Python TSQL Docker Cloud Coumputing Kubernetes TypeScript AWS LESS Machine Learning Office

Are you ready to revolutionize the world of clinical trials? At Evinova, we´re on a mission to transform drug development by leveraging cutting-edge AI and Machine Learning. With the goal of increasing clinical trial success rates by 20%, accelerating timelines by 36 months, and slashing study costs by 50%, we need innovative minds like yours! If you´re a skilled coder with a passion for developing ML solutions, a deep understanding of modern deep learning, and robust AWS skills, this could be your chance to make a significant impact.

We´re looking for ambitious individuals eager to grow into leadership roles and break through glass ceilings. Join us as a Senior Full Stack ML Engineer to design and implement advanced machine learning models that tackle complex healthcare challenges. You´ll lead the end-to-end ML lifecycle, develop critical data pipelines, and collaborate with cross-functional teams to align AI initiatives with business objectives. This is your opportunity to mentor team members, drive digital transformation in healthcare, and work with state-of-the-art technologies.

Accountabilities:

- Design and implement advanced machine learning models and agentic systems to solve complex healthcare problems.

- Translate analytical prototypes into robust, scalable production systems.

- Lead end-to-end ML lifecycle from data preparation to deployment and monitoring.

- Develop and maintain data pipelines supporting model training and deployment.

- Deliver production-ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation.

- Collaborate with cross-functional teams to deliver data-driven solutions.

- Mentor team members with a less technical background in software engineering.

- Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.

- Stay current with advancements in data science, AI, and software engineering.

Essential Skills/Experience:

- Degree in Computer Science, Mathematics, Physics or related quantitative field.

- Strong prior experience in data science roles focused on production-ready solutions.

- Strong Python programming with proficiency in data science libraries such as NumPy, pandas, scikit-learn, SciPy, Optuna and TensorFlow/PyTorch.

- Extensive experience developing and deploying Python APIs, particularly using FastAPI.

- Strong expertise in Python testing frameworks (pytest, unittest, mock).

- Experience with RESTful API design, documentation, dependency injection, error handling, and logging.

- Proficiency with AWS cloud services (CDK, EKS, S3, IAM, CloudWatch).

- CI/CD experience, particularly with GitHub Actions workflows.

- Advanced SQL skills and experience with graph databases.

- Docker containerization and Kubernetes orchestration experience.

- Experience working with AI tools and Large Language Models (LLMs) for delivery of genAI applications.

- Creative problem-solving abilities and outside-the-box thinking.

- Excellent communication skills for technical and non-technical audiences.

- Proven collaborative team experience.

- Demonstrated innovation mindset and ability to work independently.

Desirable Skills/Experience:

- AWS Machine Learning Engineer or AWS Solution Architect certification.

- TypeScript or a similar strongly-typed programming language experience.

- Data visualization expertise.

- Experience with real-time data processing and streaming.

- Performance testing experience with data-intensive applications.

- Front-end development familiarity.

- Knowledge of healthcare AI/ML regulatory requirements.

- Knowledge of drug development and previous experience working in the pharmaceutical industry.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That´s why we work, on average, a minimum of three days per week from the office. But that doesn´t mean we´re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, innovation is at the heart of everything we do. We are committed to discovering new therapeutics that address global healthcare challenges. Our diverse teams foster creativity and collaboration, empowering you to take smart risks and push boundaries. With a focus on lifelong learning and development, you´ll find opportunities to grow your career while making a meaningful impact on patients´ lives worldwide.

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

Python AWS Machine Learning Office

Introduction to role

Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of data and AI to tackle longstanding life sciences challenges? Then Evinova, a new health tech separate business within the AstraZeneca Group, might be for you!

The Human-centered AI team at Evinova aims to transform the patient experience and clinical trial process by embedding data science and AI in digital solutions serving clinical trials. We are looking for talented individuals to develop ideas into impactful product capabilities that make a difference to patients.

Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we help. Launch pioneering digital solutions that improve the patients´ experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.

The team is looking for a Director of Data Science to lead machine learning and GenAI projects, and develop innovative cross-product AI capabilities. The role is a technical expert driving hands-on development from prototyping to supporting production systems. The role will focus on the design of complex AI agents, communication architectures for agents, and developing automated techniques for designing and evaluating agentic systems. The role will interact with product, design, engineering, MLOps, and subject matter experts and stakeholders.

Examples of projects the team works on include GenAI search services, agentic document generation, algorithmic insight generation, optimization, high-frequency and high-dimensional clinical data modeling, clinical trial prediction, and much more!

Accountabilities

- Lead the design, development, and deployment of advanced agentic AI applications tailored to life sciences/health tech challenges.

- Develop automated techniques for designing and evaluating agentic systems.

- Ideate, develop, and evaluate different tools for agents (e.g., search, memory, context compression, communication architectures for agents).

- Design specialized agent/LLM observability pipelines for prototypes and production systems.

- Mentor and develop the technical capabilities of the AI team, fostering a culture of innovation and continuous learning.

- Lead a portfolio of high-impact AI projects. Drive technical and project-level architecture decisions, guiding cross-functional teams through stages of the AI lifecycle.

- Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.

- Represent the company´s AI expertise at conferences, publications, and industry events.

Essential Skills/Experience

- Ph.D. in a relevant field (such as mathematics, computer science, data science) or equivalent experience.

- 6+ years of industry experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.

- Proven track record of developing creative and novel AI solutions that have driven significant business impact.

- Extensive prior experience exploring and testing language model behavior, prompting and building products with language models.

- Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex).

- Extensive experience with AWS services (e.g., SageMaker, Bedrock, MSK, EKS, OpenSearch).

- Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare.

- Excellent verbal and written communication skills with experience presenting to executive leadership and stakeholders.

- Demonstrated ability to lead and inspire cross-functional teams.

Desirable Skills/Experience

- Demonstrated technical leadership experience, including successful delivery of large-scale AI projects.

- Experience designing and implementing novel AI architectures or algorithms in real-world products.

- Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.).

- Contributions to open-source AI projects or development of proprietary AI frameworks.

- Expertise in areas such as few-shot learning, meta-learning, explainable AI.

- Experience with regulatory environments in healthcare and life sciences.

- Experience with AI ethics, responsible AI practices in the life sciences industry.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That´s why we work, on average, a minimum of three days per week from the office. But that doesn´t mean we´re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 dic.

. Javascript Java Python CSS C++ IoT Machine Learning

Elisava ofrece una plaza de profesor/a lector (de universidad privada) para las áreas de Gestión y Datos del Grado Universitario en Ingeniería de Diseño Industrial, preferiblemente a tiempo completo.

Estamos buscando personas que vean la tecnología de manera creativa, que entiendan los conocimientos científicos como un medio y no como un fin. Personas que tengan conocimientos teóricos y aplicados relacionados con la electrónica, mecatrónica, programación, IoT y robótica, y puedan desarrollar su actividad docente e investigadora en estas áreas.

Requisitos

Tener el título de doctor en ingeniería o en un ámbito comparable y estar acreditado por la AQU o ANECA.

Se valorará muy positivamente la trayectoria científica desarrollada, la motivación de dar clase en entornos creativos, la capacidad de trabajar en proyectos con empresas, experiencia internacional y la voluntad de trabajar en equipo y crear nuevas colaboraciones.

Condiciones Del Contrato

Jornada completa

Docencia en aula: 420 horas

Proyectos/encargos: 120 horas

Resto de horas: investigación, preparación de clases, formación, etc.

Información De Cómo Aplicar

Carta de presentación incluyendo vuestros intereses en investigación y educación

Currículum Vitae con listado de proyectos y publicaciones (puede ser el de AQU o ANECA)

Enviarlo a ******

El Área De Gestión y Datos Se Centra En Innovar En El Uso De Los Productos y Los Modelos De Negocio Asociados. Es La Mención Donde El Estudiante Aprende a Trabajar Con Datos, Crear Instalaciones Interactivas, Diseñar Aplicaciones o Revolucionar La Producción Digital Mediante La Industria 4.0. Asignaturas Que Forman Parte Del Área Son Las Siguientes

Fundamentos de programación (JAVA)

Tecnología Eléctrica y Electrónica (Arduino)

Interacción y Tecnología (UNITY)

Mecatrónica y Robótica

Fabricación y Sistemas Inteligentes

Ecosistemas Conectados

Desde El Grado Universitario De Diseño En Innovación y Para La Mención De Experiencias Interactivas Necesitamos Un Perfil Que Domine

Htlm, css y javascript

P5.js implementada en Java Script

Processing

Python

Arduino y C++ (Physical computing) Elaboración de piezas y objetos interactivos

Machine Learning y Natural Language Processing

Sobre ELISAVA

Elisava es la primera Escuela de Diseño fundada en España, en el año ****, por un grupo de profesionales e intelectuales de la cultura (teóricos, arquitectos y diseñadores) comprometidos con el cambio social y cultural. Una Escuela en la que cuestionar ideas preestablecidas, en la que potenciar todas las capacidades, en la que experimentar nuevas vías, en la que conectar con el ámbito profesional y en la que encontrar alternativas. Queremos construir un mundo mejor y, mediante el diseño y la ingeniería, podemos ayudar a transformarlo. Una Escuela caracterizada por una excelente calidad académica. Un lugar de referencia donde la creatividad y la tecnología se sienten y se transmiten. Desde hace 60 años apostamos por una línea de formación e investigación abierta, flexible y pluridisciplinar, orientada al mundo profesional. Situados en un campus urbano en el centro de Barcelona, generamos impacto directo en la ciudad y estamos muy implicados en su vida cultural.

Elisava actúa como nexo de conexiones entre sociedad, empresas, estudios de diseño, instituciones, exalumnos y universidades de todo el mundo. Así, facilita al alumno el contacto con una gran constelación de proyectos, para no solo formarlos en la excelencia académica, sino para que conozcan el contexto y las dinámicas profesionales. Elisava es la fuerza de su alumnado, más de ****** estudiantes de todo el mundo han dejado y dejan su huella en la Escuela y hoy trabajan como diseñadores e ingenieros de diseño industrial para resolver los retos del futuro y generar nuevos escenarios en el mundo. Elisava es la Facultad de Diseño e Ingeniería de la Universitat de Vic - Universitat Central de Catalunya. Imparte dos grados, el Grado Universitario en Diseño e Innovación y el Grado Universitario en Ingeniería de Diseño Industrial, Másters y Postgrados Pro, Másters Beyond, Másters Executive y el Máster Universitario en Diseño y Comunicación.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 dic.

. Machine Learning

Biological sciences » Biological engineering

Engineering » Chemical engineering

Organisation/Company CSIC Research Field Biological sciences » Biological engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 31 Mar *********:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun **** Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA Marie Curie Grant Agreement Number ********* Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Objectives

Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection.

Knowledge-graph-based combinatorial experiment designs are used to span multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales.

Expected Results

Development of innovative bio-based production methods tailored to meet specific target property requirements.

These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins.

A multi-scale strategy will be implemented to design and optimise these metabolic pathways, integrating insights from various biological scales.

Where to apply

E-mail ******

Requirements

Research Field Technology » Biotechnology Education Level Master Degree or equivalent

Research Field Biological sciences » Biological engineering Education Level Master Degree or equivalent

Research Field Engineering » Chemical engineering Education Level Master Degree or equivalent

Skills/Qualifications

Candidates should hold a degree in biotechnology, synthetic biology, systems biology, applied mathematics (or a related subject area), be interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology.

A secondment at the Technical University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program.

Languages ENGLISH Level Good

Additional Information

A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills

An enthusiastic team of professionals to co-operate with

Personal Career Development Plan (PDCP) to prepare young researchers for their future careers

Each DC will undergo individual training at individual institutes according to the PCDP description

An attractive compensation package in accordance with the MSCA-DN programme regulations for doctoral candidates.

The exact salary will be confirmed and will be based on a living allowance of ****€/month (correction factor to be applied per country) + mobility allowance of 600€/month.

Additionally, researchers may also qualify for a family allowance of 660€/month, depending on the family situation.

Taxation and social (including pension) contribution deductions based on national and company regulations will apply.

Eligibility criteria

Any nationality

Doctoral Candidate (DC): The applicant must not have been awarded a doctoral degree.

Mobility rule: The DC must not have resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the three years immediately prior to the date of selection in the same appointing international organisation.

• EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the General Convention.
  
  

Language: Applicants must demonstrate fluent reading, writing and speaking abilities in English (B2).

Selection process

FrameBio (Multiscale Frameworks for BioSolutions) is a project funded by the European Union with a goal is to revolutionise biotechnology by developing comprehensive computational modules that simulate the microbial behaviour of bioproducts and quantify/estimate their resource dependencies across various scales.

This PhD position is part of a unique multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimisation, data science, and sustainability assessments.

This project has received funding from the Horizon Europe, Marie Sklodowska-Curie Actions (MSCA) grant (Grant agreement ID: *********, ).

Additional comments

Supervisors team

The

Dynamics Biodesign Lab (DBDL)

, led by Dr.

Pablo Carbonell

, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bio-economy sectors.

The lab combines synthetic biology, machine learning and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals.

The

Computational Synthetic Biology group (CSBG)

, led by Dr.

Irene Otero-Muras

, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise – with relevance in cell regulation, signalling and metabolic processes.

The research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology.

The

Biotechnology of Industrial Yeasts Laboratory

of I2SysBio, led by Dr.

Agustín Aranda

, deals with the use of different species of yeast of biotechnological interest, mainly Saccharomyces cerevisiae during winemaking.

We are focused on regulatory systems as stress response (mainly oxidative) and nutrient signalling pathways, and we use genetic manipulation to characterise such mechanisms in conditions that mimic industrial environments.

The

Spanish National Research Council (CSIC)

is the largest public research organisation in Spain and one of the most important in the European Research Area (ERA).

It is the main player in the Spanish Science, Technology, and Innovation System and is currently made up of over 13,200 people.

These individuals are distributed between the CSIC Corporate Organisation, 121 research institutes, and three national centres located throughout Spain, as well as an institute in Rome.

The CSIC conducts research in three core areas: Society, Life, and Material, which cover most academic disciplines.

In March ****, the CSIC was among the institutions awarded the 'HR Excellence in Research Award'.

The DC will be enrolled in the "Institute for Integrative Systems Biology .

The DC will be enrolled in the Science and Technology Programme, Biosciences area, offered by the Menendez Pelayo International University.

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