21 days ago
Bengaluru, IndiaSenior
Responsibilities
- Architect and implement scalable large language model architectures for project and business objectives.
- Design neural network parameters and models trained on large quantities of unstructured text data.
- Formulate practical, efficient, and scalable AI and machine learning solutions for real-world problems.
- Develop machine learning algorithms, computational systems, data pipelines, and production deployment solutions.
- Customize and apply deep learning and generative AI models for business use cases across cloud, edge, and high-performance computing environments.
- Design and optimize data storage, retrieval, and scalable data architectures supporting model training and deployment.
- Deploy, monitor, alert on, audit, and maintain machine learning models in production at scale.
- Research and develop AI, high-performance computing, algorithm, model, and simulation solutions.
- Collaborate with business stakeholders, engineers, architects, data scientists, and designers to integrate solutions into production.
- Serve as a subject matter expert, make team decisions, lead architectural strategies, and coordinate cross-functional efforts.
- Mentor team members and facilitate knowledge sharing to improve technical capabilities.
Requirements
- Minimum 7.5 years of experience is required, including experience with Snowflake Data Warehouse.
- Bachelor’s degree or equivalent is required; a master’s degree or PhD in a related field is preferred.
- At least 5 years of experience as a machine learning engineer or scientist deploying production models at scale, including monitoring, alerting, automatic bug filing, and auditing.
- At least 5 years of experience applying computer science foundations, computer system architecture, system 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 to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks and familiarity with TensorFlow and PyTorch.
- Experience with language model APIs and optimizing their usage for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Experience with data engineering, graph databases, scalable data architectures, large datasets, and cloud-based data warehouse optimization is preferred.
- Strong written and verbal communication, client-facing consulting skills, and cross-functional collaboration abilities are required.
Benefits
- The position is based at the Accenture Bengaluru office.
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.