As an AI/ML Computational Scientist, you design and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party services. You own the full solution lifecycle—from problem framing to scalable data pipelines, training, and production deployments—using Deep Learning, Gen AI, and Large Language Models. You will advance high-performance compute and MLOps pipelines, ensuring reliable, value-driven outcomes at scale. This role offers the opportunity to influence real-world applications across industries while collaborating with cross-functional teams.
Compensaciones / Beneficios
- Private medical, life, and accident insurance
- Medical services and wellbeing programs
- Versátil benefits program and employee share purchase plan
- Flexible working arrangements
- Personalized learning and career development paths
- Sustainability initiatives and Accenture Foundation involvement
Responsabilidades
- Formulate real-world problems into scalable AI/ML solutions
- Develop and implement ML algorithms and scalable data pipelines with DevOps & MLOps
- Customize DL and Gen AI models for business needs,
including edge and HPC contexts
- Research and develop new AI/compute algorithms and simulations for client applications
- Work with large-scale datasets and data preprocessing to ensure high-quality training data
- Implement and maintain efficient data storage/retrieval for models and knowledge
- Justify model approaches in business problems
- Collaborate with business and technical teams to deliver end-to-end production solutions
Requisitos principales
- Proven experience as a machine learning engineer/scientist deploying models in production at scale with monitoring and auditing
- Strong foundation in computer science principles and programming
- Experience with distributed computing, big data, HPC, and cloud-based AI deployments
- Strong written and verbal communication
- Client-facing consulting skills
- Cross-functional collaboration
- Python and Python-based ML frameworks (TensorFlow, PyTorch)
- Experience with language models (LLMs) and API optimization
- Programming languages: Python, C++, Java, R, SQL