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Data Scientist-3 (Gen AI)
Cashfree Holiday Planners
posted 4d ago
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Key skills for the job
Job Description
- Lead the design, development, and implementation of generative AI models (e.g., GPT-based models, transformer architectures, GANs) to enhance the companys financial product offerings.
- Apply advanced data science techniques, including NLP, deep learning, and unsupervised learning, to analyze large-scale datasets and generate actionable insights for product optimization and decision-making.
- Collaborate with engineering teams to integrate AI solutions into production environments, ensuring scalability and efficiency in real-time applications.
- Work closely with product managers to understand business needs and define AI-driven features that improve user experience, personalization, fraud detection, risk management, and data-driven decision-making.
- Continuously research the latest advancements in Generative AI and machine learning techniques, keeping the company at the forefront of AI innovation.
- Build and deploy machine learning models that enable predictive analytics, anomaly detection, and other AI-driven capabilities.
- Conduct rigorous experimentation and A/B testing to evaluate model performance and impact on business KPIs.
- Communicate technical findings and insights to both technical and non-technical stakeholders, ensuring alignment between AI capabilities and business goals.
- Mentor junior data scientists, fostering a culture of learning and knowledge-sharing within the team.
Experience:
- 5+ years of professional experience in data science, with a strong focus on Generative AI and machine learning.
- Previous experience in FinTech or related industries is highly preferred.
- Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or Engineering.
What we offer:
- Everyone is empowered to make decisions.
- Transparency in communication keeps us aware of where we are heading, and honest feedback helps everyone to grow quickly and in all directions.
- You also have flexible times and great office space.
- Meal coupons and Uber Credits.
Employment Type: Full Time, Permanent
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