AI / ML Associate Manager

As part of the Knowledge-AI team, you will be involved in building assets by leveraging the latest technologies and advanced AI techniques. You will be responsible for driving the development of cutting-edge AI solutions using Machine Learning, Deep Learning, NLP, and GenAI-based techniques. You will be involved in applying your expertise in understanding the business processes and coming up with AI-based solutions that can reduce the turnaround time of the overall process. You will be required to leverage existing world-class frameworks, employ standard development practices, and design generic product/solutions.
The AI innovation team is responsible for building enterprise grade solutions which can benefits users, communities, and society at large which is guided by core Accenture principles that help deliver desired outcomes while engendering trust. The team collaborates with business experts, researchers, and platform engineers to come up with creative and innovative solutions.
As AI Lead, you will be involved in driving innovations and patents along with adding value to existing solutions. The candidate applying for this role should be proficient in storytelling and should have built multiple techno-commercial solutions involving several AI frameworks and techniques.
Responsibilities:
Building AI-based solutions for multiple domains.
Providing technical expertise and guidance to the team.
Industrialisation and commercialisation of AI products/solutions.
Understanding of complex business processes and suggesting AI-based solutions that can reduce AHT and overall process time.
Will be involved in managing different cross-functional stakeholders.
Drive innovation and patents across multiple domains.
Should be involved in driving goals and objectives set by the leadership.
Drive overall product/solution development and work closely with clients to drive value.
Requirements:
Should have exposure working in an Agile development setup while flagging concerns at the right time.
Should have exposure managing a mid-sized team.
Requires a transformation mindset; convert ideas to solution which are industry-standard compliant.
Should be aware of the best practices of quality control in and outside your team, which would involve Unit Testing, Integration Testing, User Acceptance Testing, and Stress/Performance Testing.
Should be well-versed in documentation, storytelling, communication and presentation skills.
Good to Have:
Python (Programming Language)
Machine Learning
Natural Language Processing (NLP)
Deep Learning
GenAI / LLM / Prompt Engineering
Ability to perform under pressure
Ability to establish strong client relationships
Ability to handle disputes
Ability to manage multiple stakeholders
Ability to understand business challenges
Focus on business outcomes and ability to work with different cross-functional teams
Understanding of design patterns
Exposure to designing large product architectures
Agile process
DevOps
Cloud Technologies
Good understanding of SQL and NoSQL databases
Passion for staying current with the emerging technologies in AI and ML

Experience
8-12 yrs