21 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design and optimize neural network and large language model architectures for natural language processing applications.
- Develop, customize, train, deploy, and operationalize machine learning, deep learning, generative AI, and LLM solutions.
- Build scalable data pipelines and MLOps/LLMOps processes for model training and production.
- Work with large-scale datasets and implement preprocessing, storage, retrieval, monitoring, alerting, auditing, and production support mechanisms.
- Design distributed computing, cloud, edge-device, and high-performance computing solutions for AI/ML workloads.
- Research and develop new AI, machine learning, computational, and high-performance computing algorithms and simulations.
- Translate business problems into practical, efficient, scalable, and production-ready AI/ML solutions.
- Lead technical decisions, resolve complex model training and deployment issues, and provide solutions across multiple teams.
- Collaborate with business stakeholders, clients, engineers, architects, and UI designers to align model capabilities with project objectives.
- Mentor team members, facilitate knowledge sharing, and coordinate stakeholders on model design and technical feasibility.
Requirements
- Minimum 7.5 years of experience with the Databricks Unified Data Analytics Platform.
- Bachelor's degree or equivalent; 15 years of full-time education is required.
- 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 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, with experience using libraries such as TensorFlow and PyTorch.
- Experience with LLM APIs and optimizing language model usage for specific applications.
- Experience with Python, C++, Java, R, and SQL.
- Strong expertise in neural network architecture design, large-scale data processing, distributed computing, and cloud-based analytics platforms.
- Strong communication, client-facing, consulting, cross-functional collaboration, troubleshooting, and technical leadership skills.
- Master's or PhD in a related field such as computer science or engineering is preferred.
Benefits
- The 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.