Senior AI/ML Computational Scientist

Il y a 3 heures

Arrondissement of BrusselsCapital, Brussels, Belgique Accenture Belgium Temps plein
h3YOU ARE /h3 pAs a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. /p h3YOU ARE /h3 pAs a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. /p h3THE WORK /h3 ul liFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions /li liDevelop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps MLOps /li liCustomize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements
- including edge device and HPC /li liEngage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites /li liWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production /li liImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools /li liJustify the value of model approaches in business problems /li liCollaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production /li /ul h3EDUCATION /h3 ul liBachelor's Degree or equivalent /li /ul h3Basic (required) Qualification /h3 ul liSignificant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. /li liSolid experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming /li liConsiderable experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks /li liProfessional experience in building and deploying AI/ML based software to a cloud environment. /li /ul h3Preferred Qualification /h3 ul liProficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. /li liExperience working with language models like LLM's APIs and optimizing their usage for specific applications. /li liExperience with the following programming languages: Python, C++, Java, R, SQL /li liStrong written verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders /li liStrong client-facing skillsets in a consulting environment /li liStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams /li liEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation /li liMS or PhD in related field preferred (computer science, engineering, etc.) . /li /ul