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

. Agile Big Data Machine Learning

Desarrolla tu carrera profesional con nosotros

Somos un banco universal, cercano y abierto, que impulsa la rentabilidad de forma sostenida y construye capacidades que garanticen nuestro futuro con foco en la innovación, la transformación digital y el desarrollo sostenible.

Con una sólida trayectoria en España y cerca de 8.000 profesionales, somos el sexto mayor banco del país por capitalización bursátil.

Forma parte de nuestro proyecto

Como parte de esta estrategia, hemos lanzado nuestro Hub de Inteligencia Artificial Generativa (IAG), un proyecto pionero en el sector bancario español. Apostamos por la especialización, el talento y la colaboración con los principales partners tecnológicos.

Tu rol dentro de Unicaja

Queremos sumar a nuestro Hub de IAG un/a Ingeniero/a de Datos IAG apasionado/a por la innovación y la transformación digital. Serás parte de un entorno multidisciplinar, innovador y con impacto real en el sector a través de la tecnología.

Tendrás la misión de garantizar la viabilidad técnica y funcional de la estrategia de datos y test de validación de cada nuevo sistema IAG desde su análisis e incubación (en el Hub IAG) hasta la productivización y mantenimiento (en el Hub Desarrollo y Escalado), garantizando la fiabilidad y seguridad alineados con los marcos de trabajo establecidos.

En aquello en lo que pondrás foco:

• Responsable de garantizar, que tanto en los MVPs (Hub IAG) como en los escalados de los sistemas IAG (Hub Desarrollo y Escalado), la identificación y disponibilidad de los datos necesarios, y con la calidad suficiente, para garantizar el correcto funcionamiento de la solución.
• Liderar la definición de la estructura de almacenamiento de los datos que genera la aplicación IAG para que sean explotables garantizando la gobernanza y calidad acorde a las políticas del banco.
• Liderar la definición de los KPIs a medir y monitorizar para cada aplicación IAG, (principalmente las métricas para evaluar las respuestas del modelo IAG).
• Liderar el diseño de los tests para validar la aplicación IAG que se realizarán de forma recurrente mientras la aplicación esté en producción y qué métricas se utilizarán para su evaluación. Tanto Test funcionales (validar integridad funcional) como Test Adversarios (validar integridad ética, responsable, segura y fiable del uso de la IAG).
• Supervisar el análisis y evaluación del resultado de los test y decidir qué acciones realizar para mejorar la aplicación IAG.
• Supervisar el análisis y evaluación las respuestas que genera la aplicación IAG durante su actividad en producción y decidir qué acciones realizar para mejorar la aplicación IAG.
• Liderar el diseño y definición sobre cómo estructurar la información a usar en la aplicación IAG para minimizar el uso de documentos desestructurados, con el objetivo de optimizar su desempeño (pudiendo requerir la definición de ontologías para reflejar las relaciones entre la información).
• Colaborar con equipos multidisciplinarios para garantizar la integración adecuada de las soluciones en el entorno técnico.
• Soporte en el diseño de planes de escalado de las soluciones IAG.
• Supervisar y validar los diseños técnicos realizados por los proveedores y asegurar su alineación con los estándares y frameworks establecidos para el correcto uso y gobierno de los datos en la entidad.

Lo que buscamos:

Experiencia:

• 5-10 años de experiencia en la gestión de proyectos de Machine Learning (AI Tradicional), de 3-5 años en programación ETLs en el ámbito de Big Data y será valorable experiencia en proyectos IA Generativa desarrollando prompting de al menos 1 año.
• Formación académica en Ingeniería Informática, Ingeniería de Software, Ingeniería de Telecomunicaciones o áreas afines.

Además, es necesario que seas:

• Proactivo, resolutivo y con orientación a resultados. Tengas experiencia en el desarrollo de MVPs y proyectos de IAG, priorización estratégica de actividades.
• Tengas conocimientos avanzados en estrategias de escalabilidad y continuidad operativa, gestión de proyectos en Agile y Waterfall.

Tu Stack tecnológico imprescindible es el siguiente:

• Programación ETL.
• Gestión de entornos y sistemas Big Data.
• ChatGPT, Gemini.
• Microsoft Copilot.
• Evaluación IAG (Ej: DeepEval, MLflow, Opik, etc) .
• Guardarrailes IAG (Ej: Nemo Nvidia, Guardarils AI, etc).

¿Qué ofrecemos en Unicaja?

• Un entorno de trabajo dinámico donde podrás aprender y crecer profesionalmente.
• Oficinas ubicadas en Málaga.
• Flexibilidad y bienestar: jornada intensiva todo el año y horario y condiciones flexibles para que puedas equilibrar tu vida personal y profesional.
• Paquete retributivo competitivo, beneficios sociales y beneficios exclusivos por pertenecer a Unicaja.
• Oportunidades de desarrollo profesional en un entorno dinámico, con formación continua y acceso a las últimas tecnologías.
• Compromiso con la Igualdad, Diversidad e Inclusión en el entorno de trabajo.

¿Quieres formar parte de un proyecto que está redefiniendo el futuro de la banca?

Únete a Unicaja y crece con nosotros.

• Nivel de experiencia---
• Tipo de contratoConsultor
• Publicada25 dic.

Teletrabajo . Python Machine Learning

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About The Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Statistics, you'll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

• Generate prompts that challenge AI.
• Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers.
• Correct the model's responses based on your domain-specific knowledge
  
  

• You hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics and/or in a relevant area.
• You have professional experience in one of the following fields: Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, Economic Statistics, Experimental Design (DOE) & A/B Testing, Generalized Linear Models (GLMs), Hypothesis Testing, Machine Learning (e.g., Classification, Regression, Clustering), Probability Theory, Statistical Modeling, Time Series Analysis
• Your level of English is advanced (C1) or above.
• Expertise in statistical modeling and data analysis, including areas such as descriptive and inferential statistics, regression analysis, experimental design, and machine learning
• Proficiency in Python, with experience using libraries such as Pandas, NumPy, SciPy, Statsmodels, and Scikit-learn.
• Strong ability to design creative and diverse problems, particularly those that are computationally intensive and go beyond simple parameter modifications.
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
  
  

• Get paid for your expertise, with rates that can go up to $34/hour depending on your skills, experience, and project needs
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
• Work on advanced AI projects and gain valuable experience that enhances your portfolio
• Influence how future AI models understand and communicate in your field of expertise

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 dic.

Teletrabajo . Java MongoDB Python Agile TSQL Azure Scrum Cloud Coumputing Elasticsearch Git AWS R Kanban Power BI Kafka Big Data Machine Learning

Desde The Whiteam Consulting estamos buscando Ingeniero/a del dato (Big Data) con al menos 4 años de experiencia para formar parte de un importante proyecto nacional del sector público, con contrato indefinido y estabilidad a largo plazo en remoto 💻🚀

REQUERIMIENTOS 🎯

• Contar con mínimo 4 años de experiencia en las tareas y tecnologías descritas.
• Persona con capacidades analíticas y con gusto por el trabajo en equipo.
• Interés por el aprendizaje continuo, la evolución y la adaptación.
• Conocimiento en el siguiente Stack tecnológico:
• Python y Pyspark.
• Transact SQL.
• Amplios conocimientos de tecnologías Big Data
• Uso de herramientas de control de versión de código (Git)
• Experiencia en alguna plataforma Big Data (Cloud pak for Data, Azure, AWS, Stratio, etc.).
• Experiencia en diseño y desarrollo de procesos ETL y modelización de datos para analítica (modelos en estrella, copo de nieve, etc.).
  
  

• Otros lenguajes de programación: R, Java
• Experiencia en metodologías agile (kanban, scrum, design thinking, ...)
• Herramientas de visualización y realización de dashboards, preferiblemente PowerBI
• Conocimientos de Apache Kafka, NIFI, ElasticSearch, Airflow
• BBDD No relacionales (MongoDB, Couchabase. etc.)
• Herramientas ETL: Denodo, Informatica, etc.
  
  

• Realización de procesos ETL utilizando tecnologías Big Data.
• Diseño y desarrollo de soluciones alineadas con las necesidades de negocio.
• Soporte en el mantenimiento y productivización de modelos de Machine Learning para el área de Analítica Avanzada
  
  

• Modalidad de trabajo:100%remota de trabajo.
  
  

• Flexibilidad horaria y demás medidas de conciliación.
• Viernes y 3meses de verano, jornada intensiva
• Rango salarial 33.000€ B.A. - 38.000€ B.A.
  
  

• Nuestro convenio es el de Consultoras y estudios de mercado
• Tenemos 23 días de vacaciones al año
• Tenemos 14 pagas, 12 mensuales y dos extras (junio y diciembre)
• Como retribución flexible podemos pedir ticket guardería y también seguro médico + dental.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada24 dic.

. 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
• Publicada24 dic.

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
• Publicada24 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 (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!