Ofertas de empleo para machine-learning

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. Python Docker Cloud Coumputing Kubernetes Git Machine Learning

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About Energy Systems

We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.

About The Role

GreenPowerMonitor, a DNV company, is at the heart of the global energy transformation. We use data-driven digital solutions to optimise the performance of renewable energy installations around the world. Our work contributes to a more diverse, more sustainable global energy mix.

We are looking for an ML Engineer to help create, productize and evolve generative AI solutions on Horizon, GreenPowerMonitor’s cloud platform that transforms renewable energy operational data into actionable insights for monitoring, optimization, and decision-making.

This is a hands-on, impact-driven role where you will build LLM-powered agents and embed them directly into a production system used by renewable energy professionals worldwide. You will work closely with product managers and software engineers to design, deploy, and maintain production-grade AI systems, starting with a user-oriented AI assistant embedded in Horizon.

Over the course of the year, your work will support the strategic goal of enriching Horizon with LLM models, starting with a predictive maintenance module and evolving the platform to become more autonomous and intelligent for users, turning operational data into actionable insights.

What You’ll Do

• Connect to diverse data sources within the Horizon platform, including operational data, structured metadata, and technical documentation, and design Retrieval-Augmented Generation (RAG) pipelines for scalable AI systems.
• Extract, transform, and structure data for optimal use with LLMs, manage embeddings, indexing, and context retrieval, and ensure AI models are grounded in accurate, real-world information.
• Design, deploy, fine-tune, and continuously improve production-grade LLM and multimodal agents, optimizing prompts, mitigating hallucinations, and evaluating performance to deliver reliable, context-aware outputs.
• Build and maintain client-facing AI assistants and chatbots, explaining system behavior, capabilities, and limitations to both technical and non-technical stakeholders, and integrating AI features seamlessly into Horizon workflows.
• Stay up to date with advances in generative AI, agent-based systems, and instruction-tuned models, experimenting with frameworks like LangChain and collaborating on experiments using large instruction-tuned models.
• Collaborate closely with product and software teams to take AI solutions from concept to production, ensuring features are robust, scalable, and directly support Horizon users in monitoring, optimizing, and managing renewable energy assets.
  
  

What makes this role exciting: you’ll take cutting-edge LLM and agent-based systems out of the lab and into production, building AI that directly supports the operation and optimization of renewable energy assets at global scale.

What we offer

Our benefits package is specifically designed to support your physical, financial and social well-being:

• Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry,
• Receive guidance from colleagues through coaching, mentoring and participating in international networks,
• Advance your professional skills and technical expertise, through individual competence development plans and tailored training,
• Be part of a world growing and renowned organization with origins dating back to 1864.
  
  

Other Than You Can Expect

• Medical Scheme,
• Commuting Allowance,
• Life Insurance,
• Pension Plan,
• Kindergarten Allowance,
• 40 hours per week with a flexible schedule. Friday
• Home working allowance (up to 2 days per week),
• 23 days of annual leave,
• Employee Referral scheme.
  
  

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

Requirements

About you

• Master’s degree or equivalent experience in Mathematics, Data Science, Computer Science, Machine Learning, or a related field,
• Hands-on experience with Large Language Models (LLMs) or generative AI systems,
• Experience with RAG pipelines, embeddings, and prompt optimization,
• Strong understanding of Transformer architectures and fine-tuning,
• Proficiency in Python,
• Familiarity with CI/CD, Docker, Kubernetes (K8s), and Git is a plus,
• Fluency in written and spoken English.
  
  

You are curious, adaptable, and proactive, thriving in collaborative, fast-moving environments. You take ownership of projects, communicate complex AI concepts clearly to technical and non-technical stakeholders, and enjoy solving challenging real-world problems.

As part of the interview process, we ask you to submit a short report or demo of an AI agent you’ve built. This is your chance to showcase your hands-on skills and highlight your creativity.

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

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Teletrabajo . Python R Machine Learning Power BI Tableau

Job Title: Data Scientist

Job Type: Contractor

Location: Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
• Develop, validate, and implement statistical models to extract actionable insights from complex data.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
• Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
• Continuously improve analytical methodologies and automation processes to enhance data workflows.
• Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.
  
  

Required Skills And Qualifications

• Expertise in statistics, mathematics, and data analysis techniques.
• Proven experience in collecting, handling, and cleaning large, complex data sets.
• Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.
• Strong data modeling skills with experience in building and validating predictive models.
• Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
• Meticulous attention to detail and commitment to data quality at every stage.
• Excellent written and verbal communication skills, with an emphasis on clarity and precision.
  
  

Preferred Qualifications

• Experience working in a remote, cross-functional, or customer-focused team environment.
• Background in developing and deploying machine learning solutions in production settings.

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. IoT Machine Learning Office

Do you thrive at the intersection of technology and business growth?

Are you driven by the challenge of turning innovative solutions into real partnerships that move industries forward?

Do you want to be part of a team that helps technology companies connect with the right decision-makers and shape the future of manufacturing? If that sounds like you, keep reading.

Your Mission

As an Account Executive specializing in Manufacturing Technology Solutions, you drive revenue by selling our services to technology companies and solution providers whose key customers are manufacturing technology decision-makers, plant directors, and R&D within the intersection of hardware, software, devices, and technology.

Account Executive is responsible for the end-to-end sales process and acquiring new clients, building customer relationships, and developing sales strategies to help our clients optimize their sales and marketing operations. This role requires a background in working with trade fairs, exhibitions, or event sales, with a strong understanding of the solutions and services such as OT, IoT, Automation, Robotics and Sustainability Management related solutions.

In This Role, You Will

• Sell Aurora Live's services to technology companies and solution providers serving manufacturing technology decision-makers, plant directors, and other relevant leaders.
• Ensure a deep understanding of client needs, challenges, and goals to position our offerings effectively.
• Identify and qualify potential leads through various channels (e.g., LinkedIn, industry events, referrals, and cold calling).

What We’re Looking For

• Good track record in B2B sales, specifically in trade fairs, exhibitions, or event sales targeting solution providers who serve manufacturing sector in i.e. OT, IoT, Automation investments, sustainability management, AI and Machine Learning related solutions, and / or alike.
• Excellent communication, presentation, and interpersonal skills.
• Results-driven with a proven ability to exceed sales targets.
• Entrepreneurial mindset with the ability to work independently and collaboratively.
• Full professional proficiency in English, and Dutch, Swedish or German.

What We Offer

• Performance rewarded: You’ll receive an attractive compensation package with base salary, commission, and an additional starter bonus to support you as you ramp up and build your sales pipeline.
• Growth and learning: From day one, you’ll benefit from a four-week onboarding program and continuous coaching through our international AL Academy, ensuring you’re always developing and moving forward in your career.
• Career opportunities across Europe: As we continue to grow, you’ll have the chance to explore international opportunities. With offices in Helsinki, Amsterdam, Antwerp, Copenhagen, Berlin, Stockholm, Kuala Lumpur, and Barcelona, your career can take you anywhere.
• Recharge & Thrive: We care about your well-being and want you to stay energized both inside and outside of work. That’s why you can earn up to 12 extra vacation days each year and enjoy local perks such as gym and massage discounts, along with other wellness benefits. Curious about the details in your location? Ask your recruiter to learn more.
• We win together: Collaboration is our driving force, and every success is shared. That’s why we love bringing people together through company trips, international events, and local office celebrations — whether it’s hitting the slopes in Levi, running the Berlin Marathon together, or celebrating milestones across our offices in Europe.
• Annual company trip: Every summer, all employees from our different offices come together in Finland for an exciting company trip - a mix of team building, knowledge exchange, and celebrations.
• Global Community & Diversity: Diversity is part of our DNA. With colleagues from over 50 nationalities, you’ll join an international community where every culture, perspective, and background fuels innovation and success.

At Aurora Live, we’re transforming the way leaders connect, collaborate, and grow. Working with us means being part of an international, fast-paced, and purpose-driven company, where ambition meets action and every idea can make an impact. Our teams bring together smart, curious, and driven individuals who love what they do -connecting visionary leaders, shaping industries, and celebrating success along the way.

Ready to be part of something extraordinary? Join us and help shape the future of business connections.

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Teletrabajo . Python TSQL Azure Docker Cloud Coumputing Kubernetes DevOps Terraform Spark 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.

En Deloitte, sabemos que la mejor forma de afrontar los retos del entorno es a través del mejor talento, por eso buscamos personas con pasión por la innovación tecnológica y la transformación de los negocios.

Desde nuestro equipo de Inteligencia Artificial (IA) buscamos incorporar un/a Senior Delivery Consultant – AI, Data & Azure para participar en proyectos de alto impacto relacionados con Inteligencia Artificial, Generative AI, Machine Learning y plataformas de datos cloud sobre Microsoft Azure.

Tendrás la oportunidad de trabajar en proyectos desafiantes y dinámicos, diseñando e implementando soluciones avanzadas de IA para clientes enterprise, colaborando con equipos multidisciplinares y participando en iniciativas end-to-end, desde el discovery hasta el delivery.

¿Cómo será tu día a día?

• Diseñar arquitecturas cloud escalables y seguras para soluciones de IA, Machine Learning, Generative AI y analítica avanzada sobre Azure.
• Participar en el desarrollo e implantación de soluciones con Azure OpenAI, Azure AI Search, Azure ML, Databricks, Synapse/Fabric, Data Lake, AKS o Container Apps.
• Diseñar e implementar soluciones RAG, copilotos, asistentes conversacionales y agentes inteligentes.
• Participar en proyectos de ML y Deep Learning, desde la experimentación hasta producción.
• Trabajar en pipelines de datos batch y near real-time, modelado de datos y arquitecturas modernas de datos.
• Colaborar en prácticas de MLOps, LLMOps, CI/CD e infraestructura como código.
• Incorporar criterios de seguridad, observabilidad, escalabilidad y gobierno del dato en las soluciones.
• Liderar técnicamente iniciativas AI & Data y colaborar con cliente en workshops, discovery, roadmap y definición de soluciones.
• Coordinar equipos multidisciplinares y comunicar decisiones técnicas a perfiles técnicos y de negocio.
  
  

¿Qué estamos buscando?

• Experiencia sólida en proyectos de AI, Data o Machine Learning en entornos cloud.
• Experiencia práctica con Microsoft Azure y servicios de IA y datos.
• Experiencia en soluciones de Generative AI, RAG, copilotos o agentes inteligentes.
• Dominio de Python y librerías de datos/IA como Pandas, Scikit-learn, PyTorch, TensorFlow, LangChain o similares.
• Experiencia con SQL, modelado de datos y despliegue de soluciones en producción.
• Conocimiento de arquitecturas cloud, seguridad, escalabilidad y buenas prácticas de desarrollo.
• Capacidad para trabajar directamente con cliente y liderar técnicamente iniciativas.
• Nivel alto de español e inglés.
  
  

Será muy valorable si además cuentas con:

• Experiencia en MLOps, LLMOps, PromptOps o DevOps.
• Conocimiento de Docker, Kubernetes, AKS, Terraform, Bicep o GitHub Actions.
• Experiencia con Databricks, Spark, Delta Lake, Microsoft Fabric, BigQuery o Vertex AI.
• Experiencia en visión artificial, NLP, análisis documental o deepfakes.
• Conocimiento de OWASP, DAST o seguridad aplicada a IA.
• Experiencia en sectores regulados o proyectos internacionales.
  
  

¿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.

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. API Python Machine Learning OCR

Our client: Most of the assets they work on resist easy valuation — distressed Spanish loans, repossessed property, the kind of paper the market struggles to price. Our edge is a proprietary corpus of Spanish judicial and financial documents that no foundation model has ever seen, and the machine-learning systems they build on top of it. They are a ~25-person firm that analyzes and advises on Spanish real estate and distressed debt (NPL/REO), and two of those systems sit at the center of the business.

This is a junior role with the reach of a much larger one. As an early, high-impact hire, you would work across both systems — modeling and document AI — as one connected role, not two jobs. What you build shapes the analysis we stand behind and reaches real decisions in days, not quarters. You would work shoulder-to-shoulder with a sharp, multidisciplinary team: engineers, analysts, and specialists in finance and law.

WHAT YOU'LL BUILD

Pricing what almost nobody can price

Predictive and quant models across thousands of Spanish loan and property records — asset valuation, portfolio-performance forecasting, feature enrichment, tabular and time-series modeling. The numbers you produce guide real capital, so evaluation and calibration are where the craft lives.

Teaching a model to read a courtroom

Legal and judicial documents — multi-column, table-dense PDFs where layout and position carry meaning, not flat text — turned into clean, structured data. OCR, layout-aware extraction, NER, and LLM fine-tuning and evaluation. You would weigh the trade-offs that decide whether extraction is dependable or merely demo-ready: OCR + LayoutLMv3 versus OCR-free approaches (Donut, TrOCR) versus vision-language models.

You would own work across both systems end to end — training, evaluation, deployment, and monitoring, in production rather than in notebooks. It is an unusual amount of scope for an early-career engineer, and you will grow into more of it quickly.

WHAT THIS ROLE IS, AND IS NOT

• Real, production machine learning the business runs on — not a research sandbox, and not a thin wrapper around someone else's API.
• Collaborative and consequential: you build alongside talented people on work that matters, not a queue of tickets someone else has scoped.
• Honest about the data: it is genuinely messy, and structuring it is part of the craft — the ambiguity is where the interesting problems live. You will have real infrastructure, experiment tracking, and an evaluation harness to build on.

WHAT THEY OFFER

• Genuine flexibility on where you work: fully on-site in Barcelona or any hybrid split — and the number of days is yours, not a policy.
• A competitive salary for the Barcelona market, discussed openly.
• A real learning budget — books, courses, and conferences.
• A flexible-remuneration plan covering meals and transport.
• The rarest perk: a domain almost no ML engineer gets to touch, and the scope to own it early.

HOW TO APPLY

Their process is short and transparent: an initial questionnaire, 30-minute call with the person you would work with, then two or three conversations and a decision within about two weeks.

Requirements:

• Solid Python and a real grounding in machine learning (PyTorch, scikit-learn, pandas, Hugging Face).
• Evidence that you build and finish things, and that you reason carefully about why a model works or fails.

You do not need years of experience — recent graduates and self-taught engineers are welcome. A degree helps; something real you have built counts for more.

Pluses:

• Document-AI experience (LayoutLM, Donut, TrOCR) or LLM fine-tuning.
• Spanish or Catalan.
• Any exposure to finance, legal, or real-estate data.

Sof-skills:

Curiosity, precision, and clear communication

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. TSQL Cloud Coumputing DevOps Kafka Spark Machine Learning

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!

At Preply, the Data ingestion and enrichment team provides a single, trusted, and scalable data foundation. The team ensures that all analytics, machine learning, and product features are built on unified, governed, and production-grade data assets in Preply’s Lake House, including the extraction, normalization, and generation of structured data from Preply’s unstructured assets, forming a durable data moat for AI-driven products.

As a Senior II Data Engineer in the Data Ingestion and Enrichment team, you will own and drive technical vision for the data layer that powers both Preply’s analytics, machine learning, and product. You will work closely with ML Platform, Applied/Data Scientists, Analytics Engineering, and Product squads to ensure that features, datasets, and pipelines are production-ready, observable, and reusable across the company. This role combines hands-on engineering with technical leadership. You will drive cross-functional initiatives involving stakeholders from different functional areas and different levels of seniority.

What you’ll be doing:

Build trusted ingestion & enrichment foundations (Data Lake and Data as a Product):

Design, build, and own Preply’s data lake. Ensure every dataset has clear ownership, purpose, schemas, and quality expectations from first ingestion through downstream consumption by analytics, product, and ML teams. Treat trust, correctness, and predictability as first-class features of the platform.

Own end-to-end ingestion pipelines (batch & streaming):

Develop and operate scalable, reliable batch and streaming ingestion pipelines that support both real-time and analytical use cases. Design clear raw → standardized → consumption layers with explicit responsibilities, lineage, and retention strategies. Balance performance, cost, and reliability as the platform scales.

Data quality, contracts & early validation:

Define and implement data contracts between producers and consumers, covering schema, freshness, volume, and quality guarantees. Embed validation, anomaly detection, and quality checks early in the ingestion lifecycle to catch issues before they propagate. Standardize how quality metrics are measured, monitored, and surfaced across the platform.

Enrichment, modeling & lifecycle management:

Build enrichment logic that joins, standardizes, and contextualizes data across domains using shared definitions and reusable patterns. Support historical tracking, point-in-time correctness, and dataset versioning so downstream users can confidently analyze changes and impacts over time.

Observability, reliability & operational excellence:

Instrument ingestion pipelines with strong observability: freshness, latency, data quality, and cost metrics. Contribute to SLOs, alerting, and incident response playbooks so data failures are visible, diagnosable, and recoverable. Help move the platform from reactive firefighting to proactive reliability management.

Governance & compliance by design:

Apply consistent access control, classification, and privacy protections at ingestion time. Ensure sensitive data is properly masked, minimized, or anonymized by default, and that all data flows are auditable and traceable. Make governance invisible to users but deeply embedded in platform workflows.

Enable self-service & standardization:

Contribute to standardized ingestion templates, shared libraries, and platform tooling that enable teams to onboard new data sources independently within clear guardrails. Improve discoverability, documentation, and metadata so datasets are easy to find, understand, and trust without relying on tribal knowledge.

Cross-team collaboration & ownership:

Work closely with Product, Backend, Analytics, and ML partners to align on ingestion requirements, trade-offs, and priorities. Promote shared ownership of data quality and platform standards, and help foster a culture where teams move fast together under common data contracts and principles.

What you need to succeed:

• Driving architectural patterns of a large, high-scale application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
• Solid experience working in platform or data engineering teams (or equivalent impact) with evidence of leading multi-stakeholder deliveries.
• Familiarity with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices.
• Hands-on experience designing and implementing real-time and batch data processing infrastructures using modern frameworks like Spark, Flink, Spark streaming, Kafka, Debezium, etc.
• Expertise with orchestration tools such as Airflow, dbt, or similar.
• Exceptional problem-solving skills paired with a proactive, innovative mindset focused on continuous improvement.
• Strong communication and cross-functional collaboration skills (English level B2+)
  
  

Nice to have:

• Proven track record in scaling data infrastructures within fast-growing startups
• Terraform/Kubernetes for data tooling
• SQL proficiency
  
  

Why you’ll love it at Preply:

• An open, collaborative, dynamic, and diverse culture.
• A generous monthly allowance for lessons on Preply.com, a Learning & Development budget, and time off for your self-development.
• A competitive financial package with equity, leave allowance, and health insurance.
• Access to free mental health support platforms.
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
  
  

Our Principles

• Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
• We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
• Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
• Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
• Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
• Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
• Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
• Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
• Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
• One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.
  
  

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

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. Python Kubernetes AWS PostgreSQL Machine Learning

Straumann Group

At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.

About The Role

We are looking for a Senior Data Platform / Data Engineer to join our ML Platform team and help build and scale the data infrastructure that powers our AI products in dentistry. Our platform supports the full AI development lifecycle, from raw data ingestion and annotation workflows to dataset versioning and model training pipelines. You will work closely with Machine Learning Researchers (MLRs), MLOps engineers, and product teams to ensure our data infrastructure is reliable, scalable, and easy to use.

A key focus of the role is improving our Data Lakehouse (DLH) and dataset management workflows, including dataset versioning (DVC) and improving how data is prepared, extracted, and consumed across research and production systems.

What You Will Work On

You will play a key role in shaping the next generation of our data platform.

Typical Responsibilities Include

Data platform ownership

• Design and evolve the Data Lakehouse (DLH) architecture used across our ML teams.
• Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
• Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.
  
  

Dataset lifecycle management

• Improve workflows for dataset versioning and reproducibility using tools such as DVC.
• Design solutions for managing multiple versions of datasets and annotations across experiments and models.
• Improve the ability for researchers to retrieve the correct dataset versions reliably.
  
  

Data pipelines and infrastructure

• Build and maintain scalable data pipelines in Python.
• Improve metadata management, dataset validation, and data quality monitoring.
• Optimize data workflows across AWS-based infrastructure.
  
  

Collaboration with ML teams

• Work closely with ML researchers and ML engineers to understand their data needs.
• Support research workflows with reliable and efficient data access patterns.
• Help translate research requirements into robust platform capabilities.
  
  

Data governance and quality

• Implement practices for data quality, reproducibility, and traceability across the ML lifecycle.
• Ensure our data infrastructure meets the requirements of regulated AI development.
  
  

Must Have

What we’re looking for:

• Strong Python engineering skills
• Experience building data pipelines or data platforms
• Experience working with AWS
• Experience working with large datasets used in ML workflows
• Strong software engineering practices (testing, CI/CD, documentation)
• Experience collaborating with ML teams or working in AI environments
  
  

Nice To Have

• Experience with dataset versioning tools such as DVC
• Experience with Kubernetes
• Experience with data lakehouse architectures
• Experience working with annotation pipelines or ML training datasets
• Experience with PostgreSQL, Metabase, or similar data tooling
• Experience working in regulated environments (medical / healthcare AI)
  
  

Our stack

• AWS
• Python
• Kubernetes
• PostgreSQL
• Metabase
• DVC for dataset versioning
• Internal Data Lakehouse infrastructure
  
  

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type: Full Time

Alternative Locations: Spain : Madrid

Travel Percentage: 0 - 10%

Requisition ID: 20071

20071

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. TSQL Machine Learning Word

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics.

You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.

What You'll Do

• Discuss with stakeholders requirements for analysis
• Run exploratory data analysis and turn it into questions which can be answered with analytical techniques
• Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems
• Communicate results clearly and effectively
• Take care of unclear and ambiguous requirements
• Communicate complex ideas and analyses in a simple way
• Work independently on complex projects
• Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science
• Be able to use diverse data science tools and approaches
  
  

What We're Looking For

• A degree or equivalent work experience in data driven field
• Ability to use visualization techniques for communicating data and analysis
• Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc.
• R/Python experience
• Knowledge and experience of SQL
  
  

Why Product Madness?

As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.

We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.

So, what’s stopping you?

Travel Expectations

None

Additional Information

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Why Product Madness?

As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.

We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.

So, what’s stopping you?

Travel Expectations

None

Additional Information

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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

. Java Python C++ Machine Learning

Description

Amazon's International Technology org in EU (EU INTech) is creating new ways for Amazon customers discovering Amazon catalog through new and innovative Customer experiences. Our vision is to provide the most relevant content and CX for their shopping mission. We are responsible for building the software and machine learning models to surface high quality and relevant content to the Amazon customers worldwide across the site.

The team, mainly located in Madrid Technical Hub, London and Luxembourg, comprises Software Developer and ML Engineers, Applied Scientists, Product Managers, Technical Product Managers and UX Designers who are experts on several areas of ranking, computer vision, recommendations systems, Search as well as CX. Are you interested on how the experiences that fuel Catalog and Search are built to scale to customers WW? Are interesting on how we use state of the art AI to generate and provide the most relevant content?

Key job responsibilities

We are looking for Applied Scientists who are passionate to solve highly ambiguous and challenging problems at global scale. You will be responsible for major science challenges for our team, including working with text to image and image to text state of the art models to scale to enable new Customer Experiences WW. You will design, develop, deliver and support a variety of models in collaboration with a variety of roles and partner teams around the world. You will influence scientific direction and best practices and maintain quality on team deliverables.

Basic Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in building models for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  
  

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Amazon Spain Services, S.L.U.

Job ID: A10414722