Qualifications
What profile are we looking for?You should hold a Master’s degree in engineering or equivalent, with a proven expertise in Data Engineering or MLOps. Required Skills:LLM model training – ExpertData pipeline implementation – ExpertKafka – ProficientGCP – ProficientMLOps – ExpertProcess automation and industrializationTeam spirit, diligence, and ability to work in an agile manner. Autonomy and initiative in enhancing technical solutions.
About the job
Join our AI/Data Division at altersolutions, where you will be part of a dedicated team focused on innovation and the industrialization of artificial intelligence solutions. We are seeking a Data Engineer / MLOps Expert to enhance our team, actively participating in the training of LLM models, establishing data pipelines, and managing Kafka streams.
As a Data Engineer / MLOps, your primary responsibilities will include:
- Training and optimizing LLM models to meet business requirements.
- Designing and deploying robust, scalable data pipelines.
- Working with Kafka streams to ensure seamless and efficient data integration.
- Automating and industrializing model processing and deployment.
- Collaborating with Data Science and DevOps teams to adopt best MLOps practices.
- Optimizing performance and scalability of solutions within a GCP environment.
- Contributing to the continuous improvement of infrastructure and monitoring tools.
About altersolutions
Founded in 2011, altersolutions is a consulting and technology expertise firm dedicated to guiding clients through their digital transformation challenges. Our offerings encompass:Software DeliveryInfrastructure & Cloud ComputingAgile IT PerformanceBusiness PerformanceAs an international group operating in over ten countries with 5,700 employees, we prioritize the development and well-being of each team member, ensuring optimal working conditions:Remote work options available for many of our missionsA Flexible Office environment accessible to everyone to encourage communication and collaborationCommunities of experts to share and disseminate skills across the group