Nielsen

Senior Software Engineering - AI/ML (Home Office Spain ONLY)

Madrid, Community of Madrid, Spain

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Market ResearchIndustries

Requirements

Candidates must possess a Bachelor's degree in computer engineering or a related field, with 5-7 years of relevant work experience. Essential qualifications include excellent knowledge of data structures, algorithms, and designing for performance, scalability, and availability. Proficiency in Python for Object-Oriented Programming, experience with Linux and Docker containers, and knowledge of major cloud providers (Azure, GCP, or AWS) are required. Strong experience in designing and building multithreaded distributed systems, developing REST APIs, and utilizing ML/Ops technologies like Azure ML & Databricks are necessary. The role also requires experience designing and developing relational databases with efficient SQL (e.g., PostgreSQL), familiarity with collaborative development tools (Git, Confluence, Jira), and CI/CD tools & pipelines (Github Actions, Jenkins, Docker, Kubernetes). Candidates must demonstrate problem-solving capabilities, strong analytical and logical thinking, a proactive and resolutive attitude, the ability to work in a team and manage deadlines, and a capacity for quick learning. Experience with Agile methodologies (SCRUM/KANBAN) is also essential. Preferred qualifications include knowledge of LLM models (Azure Open AI, ChatGPT, Vector Databases), experience with Redis Cache, Azure Service Bus, managing large data volumes, and fluid written and oral English communication skills.

Responsibilities

The Senior Software Engineer will analyze and develop complex software programming to resolve a variety of problems driven by different technologies, ensuring high-quality standards and minimal defects. Key responsibilities include creating and maintaining scalable infrastructure for AI/ML processes, responding to user requests in near real-time, conducting requirements analysis, and preparing specific proposals. The role involves writing complex code for scalable, flexible, and user-friendly full-stack applications, developing secure and high-performing services and APIs, and using distributed computing for large-scale data processing and insights. Responsibilities also include performing feasibility studies, supporting software maintenance and evolutionary development, troubleshooting issues, and maintaining technical documentation. The engineer will contribute to architectural designs of large complexity, work closely with developers and testers to ensure technical compatibility and user satisfaction, and foster team building and effective team relations.

Skills

AI/ML
Generative AI
MLOps
Cloud-native platforms
Scalable infrastructure
API development
Distributed computing
Software development
Full-stack development
Troubleshooting
Technical documentation
Architectural design

Nielsen

Global measurement and data analytics provider

About Nielsen

Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.

Town of Clarkstown, New YorkHeadquarters
1963Year Founded
$45.1MTotal Funding
ACQUISITIONCompany Stage
Data & Analytics, ConsultingIndustries
10,001+Employees

Benefits

Health Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off

Risks

Competition from digital-native analytics firms threatens Nielsen's market share.
Privacy regulations may impact Nielsen's data collection capabilities.
Private equity acquisition could lead to strategic shifts misaligned with client needs.

Differentiation

Nielsen offers comprehensive cross-platform measurement solutions, including mobile media markets.
The Diverse Media Equity program elevates diverse-owned media companies' visibility.
Nielsen Impact Score evaluates marketing value of university athletic programs.

Upsides

Acquisition of Telephia enhances Nielsen's mobile media measurement capabilities.
Partnerships with P&G and NMSDC support diverse media representation.
Collaboration with TikTok improves digital audience measurement services.

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