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
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Design, build, and deploy machine learning models into production on GCP
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Lead development of scalable ML pipelines for data ingestion, processing, and inference
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Implement model lifecycle management using MLflow and DVC
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Containerize ML applications using Docker and deploy via Kubernetes
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Collaborate with DevOps teams to build CI/CD pipelines using GitLab
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Optimize model performance, monitoring, and reliability in production environments
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Contribute to architecture decisions and best practices for ML systems
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Mentor junior engineers and promote engineering excellence across teams
Qualifications
Required:
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Strong proficiency in Python (advanced level)
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Proven experience deploying ML models into production environments
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Solid experience with Google Cloud Platform (ideally Vertex AI)
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Hands-on experience with Docker and Kubernetes
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Experience with ML lifecycle tools (MLflow, DVC)
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CI/CD experience (GitLab preferred)
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Experience working in Agile/SCRUM environments
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Professional working proficiency in Spanish and English.
Nice to have:
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Knowledge of R for data analysis
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Experience working with large-scale data ecosystems (Data Engineering exposure)
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Infrastructure as Code (IaC) experience
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Exposure to Azure environments
Additional Information
What do we offer you?
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Full-time contract
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Remote position based in Málaga, Spain
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Possibility to manage work permits
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Training and career development opportunities.
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Perks & Benefits: smart office, private medical inssurance, flexible remuneration, extra holidays
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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).
