PythonWe are looking for a forward-thinking AI Engineer who thrives on pioneering advancements in AI technology and its practical applications within the insurance sector. This role is ideal for someone deeply engaged with AI research, enjoys exploring new technologies, and is adept at rapidly transitioning innovative concepts into real-world applications. Join our team to lead the integration of next-gen AI solutions that streamline and transform insurance processes.
Who You Are
An ideal candidate is someone deeply embedded in the AI research community, comfortable navigating uncharted tech territories, and skilled in translating complex theoretical ideas into testable and demonstrable prototypes. You are driven by curiosity and the challenge of solving complex problems that might one day reshape the insurance industry.
What We’re Looking For
● Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD in AI or a related discipline is highly desirable.
● Experience:
○ Proven experience in AI research and implementation, with a deep
understanding of both theoretical and practical aspects of AI.
○ Strong proficiency in machine learning (ML), data science, and deep learning techniques.
○ Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
○ Experience with data preprocessing, feature engineering, and data
visualization.
○ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI and ML deployment.
○ Strong analytical and problem-solving skills.
○ Ability to translate AI research into practical applications and solutions.
○ Knowledge of AI model evaluation techniques and performance optimization.
○ Strong communication skills for presenting research and technical details to non- technical stakeholders.
○ Ability to work independently and in team environments.
Preferred Qualifications
● Experience working with natural language processing (NLP), computer vision, or reinforcement learning.
What You’ll Be Doing
- Stay at the forefront of AI research to continually bring the latest innovations into our development pipeline. Your role will focus on experimenting with AI Agents and agentic AI, exploring how these technologies can enhance insurance workflows.
- Rapidly prototype and validate your ideas, demonstrating feasibility and potential impact. Work with large, complex datasets to develop models that solve real business challenges.
- While the core of your role is research-oriented, collaboration with production teams is essential. You will provide them with tested, validated concepts and support the initial stages of production integration.
- Partner with software developers, product managers, and other data scientists to ensure AI solutions are aligned with business needs
- Leverage state-of-the-art AI tools, frameworks, and libraries to accelerate AI development.
- Document AI research outcomes, development processes, and performance metrics. Present findings to stakeholders in an easily understandable manner.
Shubham Vishwakarma
Full Stack Developer - Averlon
About OIP Insurtech
About
OIP Insurtech streamlines insurance operations and optimizes workflows by combining deep industry knowledge with advanced technology. Established in 2012, OIP InsurTech partners with carriers, MGAs, program managers, and TPAs in the US, Canada, and Europe, especially the UK.
With 1,200 professionals serving over 100 clients, we deliver insurance process automation, custom software development, high-quality underwriting services, and skilled tech staff to augment our clients.
While saving time and money is the immediate win, the real game-changer is giving our clients the freedom to grow their books, run their businesses, and focus on what they love. We’re proud to support them on this journey and make a positive impact on the industry.
Tech stack
Python
Data Science
Machine Learning (ML)Candid answers by the company
Our robotics team has all graduated from our insurance boot camp. They code insurance for a living and bring with them best practices from more than 80 different systems across the insurance ecosystem.
They’ve seen what works for E&S businesses – they’ve built them. And they know what it takes to help your team deliver the better result.
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Follow CutshortShubham Vishwakarma
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