
The Management Consultant (Gen AI - Talent & Organization) is responsible for developing and deploying data-driven solutions for people transformation. This role engages with global clients to architect complex AI workflows, contributing to practice-building efforts in a dynamic environment.
As a Management Consultant in the Talent & Organization practice, you will work on a daily basis to interpret complex data patterns and define people strategies. You will collaborate with teams to co-create actionable solutions that drive transformation.
Key Responsibilities:
4 to 6 years of experience in developing and deploying applications on cloud platforms using Python.
Hands-on expertise in Generative AI, LLMs, Agentic AI, RAG framework, and LangChain.
Working knowledge of MLOps, ML pipelines, and model deployment in Azure or AWS.
Proficiency in NLP including TensorFlow, BERT, and Transformer architecture.
Strong data fluency, statistical analysis, and storytelling skills.
Company
Accenture Malaysia
Location
Kuala Lumpur
Salary
Undisclosed
Incentive / Bonus
Performance-based bonus
Skills Required
7 skills
Click to submit your application
Python
Generative AI
Data Analysis
Stakeholder Management
NLP
Statistical Analysis
Cloud Platforms
Accenture Malaysia has not disclosed the salary for this role. Management Consultant (Gen AI - Talent & Organization) (Strategy & Consulting Global Network) positions in Kuala Lumpur typically pay RM3,000–RM3,000 per month, based on the 257 comparable vacancies currently listed on SuperJobs.
Accenture Malaysia has not disclosed the salary for this role. Management Consultant (Gen AI - Talent & Organization) (Strategy & Consulting Global Network) positions in Kuala Lumpur typically pay RM3,000–RM3,000 per month, based on the 257 comparable vacancies currently listed on SuperJobs.
This Management Consultant (Gen AI - Talent & Organization) (Strategy & Consulting Global Network) position is based in Kuala Lumpur, Malaysia. This role is fully on-site.
Accenture Malaysia is looking for 4 to 6 years of experience in developing and deploying applications on cloud platforms using Python.; Hands-on expertise in Generative AI, LLMs, Agentic AI, RAG framework, and LangChain.; Working knowledge of MLOps, ML pipelines, and model deployment in Azure or AWS..
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