Machine Learning and Generative AI Consultant

We Are:

The people who love using data to tell a story. We’re also the world’s largest team of data scientists, and experts in machine learning (ML) and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Accenture Applied Intelligence.

You Are:

A seasoned Machine Learning Cloud Consultant with a unique blend of technical and business acumen. You want to apply your software development knowledge towards architecting and delivering scalable analytics & ML systems. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You’ll solve real-world challenges and turn data into impactful products that drive tangible outcomes, and help clients lead the market.

What You’ll Do:

• Use your deep expertise in cloud architecture and software development to solve complex client problems and design enterprise-grade solutions with operationalization of analytics & ML

• Develop scalable end-to-end workflow pipelines in multiple environments, across all parts of the enterprise and ML Ops journeys

• Develop robust pipelines for data, model, and concept deployment, building on best practices and accelerators for continuous integration, delivery and monitoring, facilitating operations & maintenance of solutions

• Create thought leadership materials and industrialized assets to be used for prospective clients

• Stay up to date on latest advancement in technologies, software development, and cloud development for analytics & ML

• Design LLM Ops solutions for large scale operationalization.

• Analyze and make right technological choices for Generative AI solutions