About Us 360Dialog is the leading Whatsapp platform for Independent Software Providers. We are hosting the Whatsapp channels for more than 800 software solutions and 45000+ B2B clients. As a bootstrapped and profitable company with no investors in the cap table, we are free to do what makes sense from the business, tech and product perspective. Our mission is to enable businesses to not only adapt messaging channels but also use them for performance use cases and drive revenue through them. We love to use state of the art engineering methods all over the place, in software development, tech operations but you will find them also in non-tech areas through the whole organization. We are looking for like-minded people to join our organization and contribute with their ideas, skills and expertise in exchange for a good payment.

About Us 360Dialog is the leading Whatsapp platform for Independent Software Providers. We are hosting the Whatsapp channels for more than 800 software solutions and 45000+ B2B clients. As a bootstrapped and profitable company with no investors in the cap table, we are free to do what makes sense from the business, tech and product perspective. Our mission is to enable businesses to not only adapt messaging channels but also use them for performance use cases and drive revenue through them. We love to use state of the art engineering methods all over the place, in software development, tech operations but you will find them also in non-tech areas through the whole organization. We are looking for like-minded people to join our organization and contribute with their ideas, skills and expertise in exchange for a good payment.

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. ViDA (Varian Intelligence Data Analytics) is the AI and data intelligence platform powering the Siemens Healthineers radiotherapy ecosystem. ViDA ingests real‑time telemetry from linear accelerators (LINACs) deployed in cancer treatment centers around the world — transforming that data into actionable insights for clinical engineers and service teams. We are seeking an AI & Analytics Engineer who thrives at the intersection of AI engineering, solution architecture, and data platforms. This is a true end‑to‑end role: you will take problems from initial discovery and system design through to production deployment and real‑world adoption. You are comfortable switching contexts — discussing model architectures with data scientists, reviewing API contracts with backend engineers, and explaining predictive alerts to field service managers. You care about production quality, reliability, and impact. The systems you build don’t just live in notebooks — they run inside cancer treatment centers. What We Offer - 100% Remote (Spain) or (United Kingdom) - Work from anywhere in Spain or the UK — no relocation, no office mandate - Real‑World Impact - Your solutions run inside cancer treatment centers. The work — and the stakes — are real. - AI‑Native Stack - Databricks, Azure, LLMs — modern tooling without legacy constraints - Global Scale - A Fortune 500 MedTech organization with colleagues across 30+ countries - Patented Research - Collaborate on cutting‑edge ML for radiotherapy analytics (US 12,572,623 B2) - High Autonomy - Small team, big ownership. You lead your solutions end to end. What You’ll Do - Design and deliver end‑to‑end AI solutions, from problem framing and architecture to deployment, monitoring, and iteration, on our Azure + Databricks medallion platform - Architect and build LLM‑powered applications, including RAG pipelines, AI agents, structured outputs, and intelligent alerting integrated with LINAC telemetry and fault data - Develop production‑grade APIs (FastAPI) exposing AI capabilities such as model inference, predictive maintenance scores, and anomaly alerts to clinical dashboards and service tools - Translate clinical and operational requirements into robust AI system designs, acting as a bridge between domain experts (medical physicists, field engineers) and the engineering team - Integrate ML models and GenAI components into the ViDA data platform, orchestrating inference pipelines, managing model lifecycle with MLflow, and ensuring reliability at scale - Build and maintain data pipelines (PySpark, Delta Lake) that provide clean, validated telemetry, dosimetry, and MPC data from the global LINAC fleet - Own production observability for AI systems, including latency, data drift, and model degradation, driving continuous improvement based on real‑world performance - Champion AI adoption across internal teams through clear documentation, technical onboarding, and explainable, actionable AI outputs Technology Stack - Must Have - Python (production‑grade): FastAPI, Pydantic, async programming - LLMs in production: RAG, agents, tool use, structured outputs - Azure cloud services: Container Apps, Blob Storage, Event Hubs, Service Bus - Databricks, Delta Lake, PySpark - API design and integration: REST, async, OpenAPI - SQL and data modelling (fact/dimension models, incremental pipelines) - ML fundamentals: model integration, inference, validation Nice to Have - MLflow (experiment tracking, model registry, serving) - PostgreSQL and/or MongoDB - Prompt engineering and LLM evaluation frameworks - Next.js / React for lightweight AI frontend applications - dbt, Power BI, or semantic model development What You Bring - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field — or equivalent practical experience - Proven experience building AI systems in production, with real users and real‑world consequences - Strong Python engineering skills, with an emphasis on clean, testable, and maintainable code - Deep familiarity with LLMs and GenAI patterns, including RAG, agents, structured outputs, function calling, evaluation, and monitoring - Hands‑on experience with Azure and modern cloud‑native architectures (containerisation, managed services, event‑driven systems) - Comfort working across the stack — from data pipelines and APIs to stakeholder presentations - Excellent communication skills, with the ability to tailor explanations for technical and non‑technical audiences - A proactive, ownership‑driven mindset — you identify problems early and follow through to resolution - Based in Spain (or holding valid EU work authorization); English required, Spanish is a plus - ​ Apply now and help us transform cancer care through AI. Someone, somewhere, will be glad you did. #LI-REMOTE Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To find out more about Healthineers’ specific businesses, please visit our company page here. As an equal opportunity employer, we welcome applications from individuals with disabilities. Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile where you can upload your CV. Setting up a profile also lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees.  These scammers may attempt to collect your confidential personal or financial information.  If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes. As an equal opportunity employer, we welcome applications from individuals with disabilities.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. As a Senior Analytics Engineer, you’ll design metrics, generate insights by scoping and executing deep dive analysis, and provide recommendations from a rigorous evaluation of product experiments. You’ll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space. This is an exciting opportunity to be a founding member of this new business area for Netflix! Responsibilities - Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests - Spearhead the creation of metrics that provide insight and help with decision-making - Develop high-impact dashboards and analyses to build visibility into the health of our ad platform, ad operations, and lead efforts to scale reporting through automation - Facilitate information self-service to business users through data pipelines and custom analytic tools Qualifications - Expertise in SQL, programming skills (e.g. Python, Scala), and some exposure to ETL and data warehousing concepts - A senior analytics professional with a proven track record of data analysis, reporting and visualization (e.g. Preset, Tableau) - A strong communicator with the ability to build meaningful stakeholder relationships - Enthusiastic about innovating in a fast-paced data and analytics space - Excited to learn about new fields, with the ability to be scrappy as needed - Comfortable with ambiguity; able to thrive with minimal oversight and process Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.