全职 Accenture - AI-ML Computational Science Manager Jobs, in Accenture - Ricebowl

Job Description

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.

Our End-to-End Capabilities

Transform Every Fact of Business

Strategy

We identify and execute on actionable insights through a data-driven approach combining data discovery with visualization

Automation, Advanced, Analytics and AI

We apply intelligent technology and human ingenuity at the core of business across every function and process to address our clients’ most complex challenges

Data

We transform organizations at every level using innovative data-driven solution.

Platforms

The flexible. Scalable Applied Intelligence Platform helps our clients become insight-powered enterprises, delivering value at speed using market-leading tools.

Responsible AI

Our responsible AI methodology puts people at its center. Focusing on enhancing their capabilities and elevating their roles.

You Will Be Responsible For:

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Job Qualifications

• Minimum of bachelor’s degree required in a related field; strong preference for fields of study in data science, AI, statistics, economics or quantitative background

• Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

• Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

• Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..

• Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

• Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

• Strong client-facing skillsets in a consulting environment

• Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

• Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation