As a Senior AI/ML Computational Scientist, you design, build, and operationalize AI/ML solutions for enterprise clients across the full lifecycle—from problem framing and model selection to scalable data pipelines and production deployment. You will customize advanced models (including Deep Learning, Generative AI, and LLMs) and craft robust MLOps/LLMOps pipelines that deliver reliable, measurable value. You collaborate with cross-functional teams to drive client impact, balance data quality, and explore new AI techniques at scale. This role offers meaningful work at the intersection of cutting-edge AI and enterprise transformation.
Compensaciones / Beneficios
- Private medical, life, and accident insurance
- Wellbeing programs
- Flexible benefits program
- Versátil working arrangements
- Personalized learning and career development paths
- Sustainability initiatives and Accenture Foundation participation
Responsabilidades
- Formulate real-world problems into scalable AI/ML solutions
- Develop and implement ML algorithms, models, and computational systems
- Design and build scalable data pipelines to support model training and production with DevOps & MLOps
- Customize Deep Learning and Generative AI models for business use cases
- Engage in R&D; of new AI/compute algorithms and simulations for client problems
- Work with large-scale datasets and advanced preprocessing for high-quality inputs
- Implement and maintain efficient data storage and retrieval for models and knowledge
- Justify the business value of model approaches in client problems
- Collaborate with business and technical stakeholders to deliver end-to-end projects
Requisitos principales
- Significant experience as a machine learning engineer or scientist deploying models in production at scale
- Extensive experience with CS fundamentals including system architecture and programming
- Strong background in distributed computing and cloud-based environments
- Proven experience building and deploying AI/ML software to cloud platforms
- Strong written and verbal communication
- Ability to communicate complex concepts to non-technical stakeholders
- Client-facing consulting skills
- Python and Python-based ML frameworks (TensorFlow, PyTorch)
- Experience with language models and LLM APIs
- Programming languages: Python, C++, Java, R, SQL