17 hours ago
Chennai, IndiaStaff+
Responsibilities
- Design and implement scalable large language model architectures for complex business challenges.
- Develop, customize, train, deploy, monitor, and maintain AI/ML and generative AI models in production.
- Build scalable data, MLOps, and LLMOps pipelines for model training and production.
- Work with large-scale datasets, data preprocessing, model evaluation, and efficient storage and retrieval systems.
- Research and develop AI, high-performance computing, distributed computing, algorithm, model, and simulation solutions.
- Integrate language models into broader systems and workflows with cross-functional business and technical teams.
- Provide technical advisory and solutions across multiple teams, make team decisions, and mentor junior team members.
- Explain the value and technical approach of models to business stakeholders and clients.
Requirements
- At least 18 years of experience in Machine Learning (ML).
- Bachelor's degree or equivalent; 15 years of full-time education is required, with an MS or PhD in a related field preferred.
- At least 7 years of experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
- At least 7 years of experience applying computer science foundations, computer system architecture, system engineering, and programming.
- At least 5 years of experience with distributed computing systems and architectures, including areas such as big data, high-performance computing, engineering simulations, scientific computing, grid computing, cloud computing, or distributed networks.
- At least 4 years of experience building and deploying AI/ML software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks, including familiarity with TensorFlow and PyTorch.
- Experience with LLM APIs and optimizing their use for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Strong understanding of neural network architectures, deep learning frameworks, large-scale datasets, model training optimization, natural language processing, and language model evaluation metrics.
- Strong client-facing, written and verbal communication, advisory, cross-functional collaboration, and consulting skills.
Benefits
- The position is based at the Accenture office in Chennai.
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.