AI Solutions Architect
2 weeks ago
Jio is the driving force behind India's leading telecom operator, serving over 400 million customers. We have also powered a comprehensive list of digital apps and services that deliver functionality, usability, engagement, scale, and loyalty. Our solutions cater to both customers (B2C) and enterprises (B2B), covering a complete 5G solution suite, AI/ML platforms for 4G/5G, cloud infrastructure solutions, and sophisticated BSS solutions. Our products are cloud-native, deployable on both public and private clouds. Headquartered in Navi Mumbai, Maharashtra, we operate in the Media & Telecommunications industry.
Job OverviewWe are seeking a GEN AI Architect to join our dynamic team on a full-time basis. This role is based in Mumbai or Gurgaon and focuses on designing and implementing advanced AI solutions. The ideal candidate will have strong expertise in predictive modeling, GEN AI, and cloud systems. You will play a crucial role in driving AI initiatives across our digital offerings and enhancing our cloud-native platforms.
Key Responsibilities- Lead the design, development, and deployment of GEN AI solutions across various digital platforms.
- Collaborate with cross-functional teams to integrate predictive modeling techniques into business processes.
- Ensure the scalability and robustness of AI solutions in cloud-native environments.
- Conduct data analysis and develop machine learning models to solve complex business problems.
- Visualize data insights to communicate results and drive data-driven decision-making within the organization.
- Stay updated with the latest advancements in AI and machine learning technologies.
- Mentor and guide junior team members in AI/ML best practices and methodologies.
Requirements
- Expertise in predictive modeling with proven experience in deploying predictive analytics solutions.
- Strong understanding and hands-on experience with GEN AI technologies and frameworks.
- Proficiency in cloud platforms and solutions, including deployment and orchestration.
- Solid foundation in machine learning algorithms and their practical applications.
- Experience with data visualization tools to present complex data insights clearly and effectively.
- Knowledge of big data technologies and the ability to work with large datasets efficiently.
- Strong quantitative analysis skills to derive actionable insights from data.
- Proficiency in Python programming for building scalable AI/ML models and solutions.
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