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Artificial Intelligence Engineer - Data Modeling

TalentVeda Recruitment Services
Mumbai
4 - 6 Years

Posted on: 27/11/2025

Job Description

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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