1 day ago
Hyderābād, IndiaSenior
Responsibilities
- Design and evolve AI/ML architectures for classification, recommendation, prediction, and decision-support systems.
- Define model lifecycle strategies for training, evaluation, deployment, monitoring, and continuous learning.
- Architect generative AI solutions using LLMs, RAG, vector databases, knowledge graphs, and AI agents.
- Drive experimentation frameworks, confidence scoring, model calibration, and performance optimization.
- Build scalable data and MLOps platforms supporting large-scale AI workloads and real-time inference.
- Partner with Data Scientists and Engineering teams to translate business problems into production-grade AI solutions.
- Establish technical standards for AI governance, observability, reliability, explainability, and responsible AI practices.
Requirements
- At least 7.5 years of experience.
- BTECH educational qualification.
- Strong expertise in Machine Learning, Deep Learning, NLP, and Generative AI.
- Hands-on experience with Python, PyTorch or TensorFlow, ML platforms, and cloud-native architectures using Azure, AWS, or GCP.
- Experience designing enterprise-scale AI products and deploying models into production.
- Knowledge of RAG, AI agents, vector search, MLOps, and distributed systems architecture.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.