17 hours ago
Chennai, IndiaStaff+
Responsibilities
- Lead the development and implementation of scalable language model architectures.
- Design and tune neural network architectures for natural language processing and large language model applications.
- Develop machine learning algorithms, models, computational systems, and scalable data pipelines for training and production.
- Customize and deploy deep learning, generative AI, and large language models in cloud, edge, and high-performance computing environments.
- Build and maintain data storage, retrieval, monitoring, alerting, auditing, and production reliability mechanisms for AI/ML systems.
- Research emerging AI, machine learning, high-performance computing algorithms, models, and simulations.
- Translate business requirements into technical solutions and justify model approaches for business problems.
- Collaborate with business, technical, engineering, architecture, design, and client-side stakeholders on end-to-end delivery.
- Provide technical advisory leadership, make decisions across multiple teams, and mentor team members.
- Evaluate emerging technologies and methodologies to improve model performance and maintain technical competitiveness.
Requirements
- Minimum 18 years of experience is required, including stated experience with Databricks Unified Data Analytics Platform.
- Bachelor's degree or equivalent is required; an MS or PhD in a related field is 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 in computer architecture, systems engineering, and programming.
- At least 5 years of experience with distributed computing systems and architectures, including possible big data, high-performance computing, scientific computing, grid, cloud, or distributed network environments.
- 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, with familiarity with TensorFlow and PyTorch.
- Experience with Python, C++, Java, R, and SQL.
- Experience working with language model APIs and optimizing their use for specific applications.
- Expertise in large-scale unstructured text datasets, data preprocessing, data pipelines, neural network architecture tuning, and production language model integration.
- Strong written and verbal communication, client-facing consulting, cross-functional collaboration, influencing, advisory, and mentoring skills.
Benefits
- The position is based at the Accenture office in Chennai.
- The role offers client-facing consulting work involving enterprise AI/ML, emerging technologies, and cross-functional technical collaboration.
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.