Posted on: 27/11/2025
Description :
Key Responsibilities :
- AI Model Development : Design, train, and fine-tune large language models and other AI systems tailored to insurance-related use cases.
- Data Science Expertise : Leverage data to uncover trends, build predictive analytics, and refine AI algorithms for precision and impact.
- Optimization : Ensure AI models are optimized for performance, scalability, and cost-efficiency across real-world scenarios.
- Research & Innovation : Stay at the forefront of AI and data science, experimenting with the latest advancements to drive product innovation.
- Integration : Collaborate with engineering teams to embed AI-powered features seamlessly into CoverSures platform.
- Monitoring & Maintenance : Oversee AI systems post-deployment, ensuring robustness, reliability, and accuracy.
Key Skills :
- AI Expertise : Hands-on experience with Gen AI technologies, large language models (LLMs), prompt engineering, and fine-tuning models.
- Data Science Skills : Proficiency in statistical modeling, predictive analytics, and working with large datasets.
- Programming Proficiency : Advanced skills in Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or similar tools.
- MLOps Best Practices : Experience in deploying and managing AI models in production environments using MLOps tools and workflows.
- Analytical Thinking : Strong foundation in mathematics, statistics, and machine learning for building reliable AI systems.
- Agility : Quick adaptability to evolving AI technologies, tools, and methodologies.
- Cloud Experience : Hands-on with AWS, GCP, or Azure for deploying and scaling AI or data workloads. Familiarity with containers, Kubernetes, serverless, data pipelines, and CI/CD is a definite plus.
Qualifications :
- Experience : At least 4+ years of experience in data science/AI roles, with a minimum of 1+ years in Gen AI-focused projects.
- Educational Background : Bachelors or Masters degree in Computer Science, Data Science, AI, or a related discipline.
- Problem-Solving : Strong problem-solving mindset with a focus on delivering user-centric, high-impact AI solutions.
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