Generative ai engineer

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:
Strategy (Outsourcing, Ne Xel, Team as a Service, Tech Academies);
R&D (Bootcamps, POC, Tech Lab);
Nearshore.In ADENTIS, we focus on PEOPLE. This is our emotional salary:
Great Work-Life balance;
Very flexible organizational routine;
Health benefits (for you and your family);
Team Buildingactivities;
Over 300 protocols to offer you great discounts in different areas;
Continuous professional development sponsored by our Training and Certification Department;
Regular feedback on your performance through a personalized plan;
Comprehensive career plan and progression involving assertive performance reviews.Responsibilities:

- Develop and implement generative AI models, including LLMs and multimodal architectures, for use cases such as content personalization, intelligent automation, semantic analysis, and assisted creation.
- Create and manage automated data pipelines and fine-tuning workflows, ensuring efficient data processing, dataset preparation, and seamless integration of generative models into existing systems and workflows.
- Enhance platform monitoring capabilities in alignment with the Data Science team to ensure the quality, consistency, and reliability of data used for training, evaluation, and inference of generative models.
- Collaborate with Data Engineering (DE) and IT teams to identify and leverage data platforms that support the development of feature stores, pipelines, and dataset management for generative AI workloads.
- Advance the MLOps/LLMOps discipline to include model versioning (model registry), dataset versioning, prompt management, and experiment tracking to support a robust experimentation environment.
- Utilize Azure Databricks for data processing, model training, fine-tuning, and deployment, optimizing resources for efficient and cost-effective generative AI solutions.
- Design and maintain scalable, high-performance infrastructure required to serve generative models in production environments.
- Work closely with IT and Dev Ops teams to manage cloud resources and deployment environments, ensuring security, scalability, and performance of generative AI applications.You must have:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Proven experience as a Machine Learning Engineer, Generative AI Engineer, or similar role, preferably with exposure to CRM and platform-based solutions.
- Proficiency in developing generative AI models, fine-tuning LLMs, working with embeddings, RAG techniques, and applying models for personalization, automation, and semantic understanding.
- Experience with pipeline automation, data flow monitoring, and hands-on use of Azure Databricks for data processing, training, and deployment of generative models.
- Familiarity with cloud infrastructure management, preferably within the Azure ecosystem, and strong programming experience with Python (and optionally R or Scala).
- Proficiency with relevant frameworks and libraries such as Hugging Face Transformers, Lang Chain, Py Torch, Tensor Flow, or similar tools.
- Strong analytical and problem-solving skills, paired with excellent communication and collaboration abilities.
- Familiarity with Dev Ops/LLMOps practices and tools, with experience in CRM platforms and customer data analytics considered an advantage.
- EU Citizenship or Portuguese Working Visa / Residency.
- Availability for in-office collaboration twice per month.