Conexus
AI / Software Engineer
Job Location
Madrid, Spain
Job Description
Senior ML/AI Engineer - Madrid (Hybrid) Location: Madrid (Hybrid) Type: Permanent | Full-time We're working with a fast-growing European tech consultancy that's building next-generation data and AI solutions for enterprise clients across finance, retail, and SaaS. They're now looking for a Senior ML/AI Engineer with strong experience in Google Cloud Platform (GCP) to lead the design, deployment, and optimization of production-ready AI systems. This is a hands-on engineering role where you'll own architecture and delivery, helping turn business goals into scalable ML and software solutions that create real impact. What You'll Do AI & Software Engineering Lead the design, development, and deployment of scalable ML/AI systems on GCP (Vertex AI, BigQuery, Cloud Run, Dataflow) . Build robust data and model pipelines -from ingestion to serving-using Python, TensorFlow, or PyTorch . Engineer and deploy end-to-end production systems integrating ML APIs, backend services, and microservices architectures. Apply LLMs, RAG pipelines , and Generative AI frameworks to deliver high-value, real-world applications. MLOps & Cloud Infrastructure Implement best practices in MLOps , including CI/CD , monitoring, and model lifecycle automation with Kubeflow , MLflow , or Vertex AI Pipelines . Collaborate with data engineers and software developers to ensure system reliability, scalability, and performance. Champion automation and reproducibility-design infrastructure as code (Terraform, Docker, Kubernetes). Optimize for latency, throughput, and cost across large-scale deployments. Business Impact & Collaboration Partner with stakeholders to identify new AI opportunities and translate them into deployable technical solutions. Define and measure success criteria and KPIs that align with business outcomes. Communicate complex concepts to both technical and non-technical audiences. What We're Looking For 5 years of experience in AI/ML Engineering or Software Development roles. Must have 3 years of hands-on experience with GCP - (they will not accept AWS or Azure) Proven track record of building and deploying production-grade ML or AI systems . Strong Python skills and proficiency with TensorFlow or PyTorch . Solid understanding of MLOps tools and model lifecycle management. Experience with LLMs , RAG , or LangChain-based frameworks is a strong plus. Strong grasp of software engineering principles , API design, and cloud infrastructure. Excellent communication and collaboration skills; fluent in English (Spanish or French a plus). Eligible to work in Europe. Bonus Skills Experience with LangGraph , dbt , or data pipeline orchestration tools. Previous consulting or client-facing project experience. Open-source or community contributions in AI/ML. Why Join? Work with global clients on high-impact AI systems . ☁️ Build cutting-edge solutions using GCP, Vertex AI, TensorFlow, PyTorch, and Kubernetes . Join a collaborative culture that values ownership, transparency, and innovation. Grow your career in a company that invests in continuous learning and real-world application of AI.
Location: Madrid, Community of Madrid, ES
Posted Date: 10/19/2025
Location: Madrid, Community of Madrid, ES
Posted Date: 10/19/2025
Contact Information
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