Sobre a função

Who are we:Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates. Neotalent, the responsive people.

Find out more about us at www.neotalentconclusion.com. Role Overview:We are looking for a Senior Data Scientist to integrate our teams and work on the design, development, and deployment of advanced AI and Machine Learning solutions. This role is focused on building high-impact, production-ready models, contributing to technical and architectural decisions, and ensuring robust end-to-end delivery aligned with best MLOps practices. You will collaborate closely with cross-functional teams to transform complex business problems into scalable and innovative AI solutions. What you will do:Design, develop, and deploy advanced AI and Machine Learning models to solve real-world business challenges

Define modelling strategies, experimentation approaches, and analytical frameworks for complex AI/ML initiatives

Develop and optimise NLP and Generative AI solutions, including LLM-based applications such as chatbots, copilots, summarisation, sentiment analysis, and information extraction

Build and fine-tune models using modern architectures such as transformers, multimodal models, recommender systems, forecasting, and optimisation algorithms

Ensure reliable deployment, monitoring, and lifecycle management of ML solutions following industry-standard MLOps practices

Collaborate with cross-functional stakeholders to clarify requirements and translate business needs into technical solutions

Contribute to technical architecture decisions, code quality, model validation, and best practices

Lead and mentor Data Science team members, promoting technical excellence, knowledge sharing, and continuous improvement

Communicate insights, results, and technical decisions clearly to both technical and non-technical stakeholders. What you are like:Experienced in Data Science and advanced Machine Learning applied to real-world, production environments

Proficient in NLP, LLMs, and Generative AI, including text pre-processing, embeddings, classical NLP models, transformers, fine-tuning, prompt engineering, and RAG solutions

Strong background in Deep Learning, including CNNs, RNNs, LSTMs, Transformers, and familiarity with multimodal models (Vision + NLP)

Experienced in building recommender systems, time series forecasting solutions, and exposure to Reinforcement Learning is valued

Highly proficient in Python and the main Data Science and Deep Learning frameworks (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)

Comfortable working with cloud platforms (AWS, Azure, or GCP) and managed ML services

Experienced in MLOps practices, including Docker, Kubernetes, MLflow, DVC, CI/CD pipelines, and model deployment and monitoring

Fluent in English, with strong professional communication skills

Proactive, analytical, and collaborative, with the ability to lead, mentor, and influence technical decisions. Why join us:Work on challenging projects for big clients