At SDG Group, we don't do AI just because it's trendy, we specialize in it. We are a global consulting company 100% focused on Data & Artificial Intelligence, with 200+ multidisciplinary AI experts.
We've built 100+ AI solutions currently running in production for 70+ clients across industries including banking, retail, energy, and healthcare.
Our competitive edge comes from 50+ proprietary AI accelerators, strategic partnerships with Microsoft, Google, and AWS, and SDG iLabs, our innovation playground where we develop and test the technologies the market will be using in the months ahead.
Our next challenge? Growing our AI team with people who not only master the technology, but can transform complex ideas into AI solutions that generate real business impact.
Design and implement scalable AI architectures for enterprise environments.
Define end-to-end technical solutions, from data and infrastructure to model deployment and production.
Design cloud-native AI and Machine Learning platforms on Azure, AWS, and GCP.
Lead the industrialization of AI solutions by building robust, scalable, and maintainable production environments.
Deploy, monitor, and optimize Machine Learning models using MLOps best practices.
Design and implement Generative AI use cases, including LLMs, RAG, AI Agents, and enterprise AI applications where they provide real value.
Collaborate with multidisciplinary teams and advise clients on AI architecture, cloud strategy, and technology decisions.
Degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
Solid experience designing AI and Machine Learning architectures and deploying ML solutions into production.
Strong experience with Python and Machine Learning frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, and Pandas.
Experience building AI solutions on Azure, AWS, or GCP, together with MLOps technologies such as Docker, Kubernetes, MLflow, Airflow, or similar.
Practical knowledge of Generative AI technologies such as LLMs, RAG, AI Agents, prompt engineering, fine-tuning, OpenAI, LangChain, or similar.
Experience designing enterprise AI solutions using technologies such as Azure Databricks, Azure Machine Learning, Amazon SageMaker, Google Vertex AI, or equivalent AI platforms.
A consulting mindset with excellent communication skills and the ability to translate business challenges into scalable technical solutions.
Professional level of English. Spanish is a plus.
Nice to have
Experience in Data Engineering, Big Data, or Data Architecture (e.g. Spark, Kafka, Data Lakes/Lakehouses, ETL/ELT pipelines).
Experience designing modern cloud data platforms that support AI workloads.
Cloud certifications (AWS, Azure, or Google Cloud).
Join one of the largest and most specialized AI consulting teams.
Work on real AI projects for leading international companies, our solutions go into production.
Access the latest AI technologies, cloud platforms, and enterprise-scale challenges.
Clear career progression with opportunities to grow into technical leadership and architecture roles.
Continuous learning through technical communities, knowledge sharing, and official cloud certifications.
Flexible working model with remote, hybrid, or office options.
If you're passionate about AI and want to design cutting-edge AI solutions that make a real impact, we'd love to hear from you.
