Data Science Practitioner
Accenture
Bengaluru1–3 yrs1h agovia Naukri
About the Role
Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Key Responsibilities
- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges.
- Automate processes and integrate intelligent insights into enterprise workflows for measurable impact.
- Develop and implement strategies to optimize AI and machine learning models for improved efficiency and effectiveness.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems that apply across multiple teams.
- Facilitate knowledge sharing and best practices among team members.
Requirements & Tech Stack
Must To Have Skills
- Proficiency in Generative AI.
- Experience with natural language processing and understanding.
- Strong analytical skills to interpret complex data and derive actionable insights.
- Familiarity with machine learning frameworks and libraries such as TensorFlow or PyTorch.
- Ability to communicate technical concepts to non-technical stakeholders effectively.
- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks.
- Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
Qualifications
- 15 years full time education.
- Minimum 12 years of experience in Generative AI.