Accenture
As Senior AI Engineer, you are a critical member of the AI and Automation group focused on leading efforts in migrating Agentic AI based solutions from concept to production-level operational excellence.
Role: AI / ML Engineer
Location: Bengaluru
Role Focus: • Operationalizing key strategic ML models • Research and operationalize new tools, frameworks, and platforms technology and processes necessary to scale AI Solutions • Building, maintaining and troubleshooting Agentic custom connectors, custom actions and other associated integration work • End-to-end responsibility for operationalizing ML Dev Ops tools and processes • Creating and maintaining production and lower environments (stage, QA, development) • Creating and operationalizing quality assurance processes for ML models • Ownership of cloud security compliance • Monitoring and optimizing cloud spend • Optimizing deployment and change control processes for models
Large Language Models (LLMs), GenAI models, deep learning, neural networks, chatbots, image processing, Communication protocols (e.g. MCP)
Recommended resources to build the skills for this position. Sponsored.
Python for Everybody Specialization
Coursera
Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
Coursera
Intermediate Python covering classes, inheritance, APIs, and data processing.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
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