Senior Machine Learning Engineer

Description

**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** You will join a global data ecosystem built on Google Cloud Platform, working on large\-scale data and machine learning initiatives. The environment focuses on industrializing ML solutions—moving beyond experimentation into robust, production\-ready systems. You will collaborate closely with Data Engineers, DevOps, and product teams to deploy, scale, and monitor ML models in real\-world applications. **What you will do** * Design, build, and deploy machine learning models into production on GCP * Lead development of scalable ML pipelines for data ingestion, processing, and inference * Implement model lifecycle management using MLflow and DVC * Containerize ML applications using Docker and deploy via Kubernetes * Collaborate with DevOps teams to build CI/CD pipelines using GitLab * Optimize model performance, monitoring, and reliability in production environments * Contribute to architecture decisions and best practices for ML systems * Mentor junior engineers and promote engineering excellence across teams **Qualifications** **Required:** * Strong proficiency in Python (advanced level) * Proven experience deploying ML models into production environments * Solid experience with Google Cloud Platform (ideally Vertex AI) * Hands\-on experience with Docker and Kubernetes * Experience with ML lifecycle tools (MLflow, DVC) * CI/CD experience (GitLab preferred) * Experience working in Agile/SCRUM environments **Nice to have:** * Knowledge of R for data analysis * Experience working with large\-scale data ecosystems (Data Engineering exposure) * Infrastructure as Code (IaC) experience * Exposure to Azure environments **Additional Information** **What do we offer you?** * Full\-time contract * **Remote position based in Málaga, Spain** * Possibility to manage work permits * Training and career development opportunities. * Perks \& Benefits: smart office, private medical inssurance, flexible remuneration, extra holidays * Be part of a multicultural team working on international projects. **If you are passionate about data, development \& tech, we want to meet you!** * Talan Spain’s commitment to non\-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree\-Law 6/2019\).