Accenture in India
Website:
accenture.com
Company:
https://www.linkedin.com/company/accentureindia
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
Skill required: Tech for Operations - Artificial Intelligence (AI)
Designation: AI/ML Computational Science Assoc Mgr
Qualifications:Phd/BE/BTech
Years of Experience:10 to 14 years
Language - Ability:English(International) - Intermediate
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? As a part of Knowledge-AI team, you will be involved in building assets by leveraging latest technologies and advance AI techniques. You will be responsible for driving the development of cutting-edge AI solutions using Machine Learning, Deep Learning, NLP, and gen-AI based techniques. You will be involved in applying your expertise in understanding the business processes and come 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 values 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.
What are we looking for?
- 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 relationship
- 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 in designing large product architectures
- Agile process
- DevOps
- Cloud Technologies
- Good understanding of SQL and No-SQL databases
- Passion for staying current with the emerging technologies in AI and ML Roles and Responsibilities:
- Building AI based solutions for multiple domains
- Providing technical expertise and guidance to the team
- Industrialization and commercialization of AI products/solutions
- Understanding of complex business process and suggesting AI based solution that can reduce AHT and overall process
- Will be involved in managing different cross function stakeholders
- Drive innovation and patents across multiple domains
- Should be involved in driving goals and objectives set by the leadership
- Drive over all product/solution development and work closely with clients to drive value
- Should have exposure working in Agile development setup while flagging concerns at the right time
- Should have exposure managing a mid-sized team
- Requires 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 with documentation, storytelling, communication and presentation skills
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