1 day ago
Hyderābād, IndiaSenior
Responsibilities
- Design and optimize neural network and large language model architectures for natural language processing.
- Develop, deploy, monitor, and maintain machine learning models and computational systems at production scale.
- Build scalable data processing, storage, retrieval, training, and production pipelines.
- Customize deep learning, generative AI, and language models for client business needs, including edge-device and high-performance computing use cases.
- Research and develop AI, machine learning, high-performance computing algorithms, models, and simulations.
- Troubleshoot complex model training and deployment challenges and ensure solution quality, reliability, and value.
- Collaborate with business stakeholders, engineers, architects, users, and designers to deliver end-to-end production solutions.
- Serve as a subject-matter expert, make team decisions, coordinate across teams, mentor colleagues, and lead knowledge sharing.
Requirements
- Minimum 7.5 years of experience, including experience with Databricks Unified Data Analytics Platform.
- 15 years of full-time education and a bachelor's degree or equivalent; a related master's degree or PhD is preferred.
- At least 5 years of experience as a machine learning engineer or scientist deploying models in production at scale.
- At least 5 years of experience applying computer science foundations, computer architecture, systems engineering, and programming.
- At least 3 years of experience with distributed computing systems and architectures, including big data, high-performance computing, scientific computing, grid or cloud computing, or distributed networks.
- At least 2 years of experience building and deploying AI/ML software in a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks, with familiarity with TensorFlow and PyTorch.
- Experience with language model APIs and optimizing their use for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Strong neural network architecture, large-scale data processing, model training, deployment, troubleshooting, client-facing, communication, and cross-functional collaboration skills.
- Experience in a consulting environment and the ability to communicate complex technical concepts to non-technical stakeholders.
- A master's degree or PhD in computer science, engineering, or a related field is preferred.
Benefits
- Position is based at the Accenture office in Hyderabad.
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.