Principal Engineer/ Lead Engineer

3 days ago

Noida, India Futuristic Underwriters Pvt Ltd Full time

About Futuristic Underwriters Pvt. We are a business transformation center dedicated to achieving efficient underwriting operations, utilizing AI/GENAI capabilities, and further advancing its digital transformation and innovation. We will advance Futuristic Group’s global strategy through pioneering work in streamlined underwriting processes, AI, telematics, and analytics, providing critical business support functions across underwriting and claims. Our focus is to set up a hub for incubation—developing next-generation insurance and technology solutions that will shape the future. Engineer/ Sr Engineer/ Lead Engineer / Principal Engineer - SMART Solutions & AI Delivery We are building the future of insurance with AI. Join our India Digital Innovation Unit to design and deploy AI-powered solutions that transform underwriting, claims, and operational efficiency for a leading global insurer. We invite AI Engineers, Senior Engineers, and Principal Engineers across 3 to 15 years of experience — from hands-on model builders to AI platform architects — to be part of our high-impact journey. (Responsibilities scale with experience and level of ownership) AI/ML Development: Design, train, and deploy ML models for risk scoring, underwriting automation, fraud detection, and claims analytics. Data Engineering & Pipelines: Build and maintain data pipelines, feature stores, and real-time inference systems. Architect scalable data platforms integrating internal and external data sources. MLOps & Deployment: Develop CI/CD pipelines, versioning, and monitoring frameworks for ML models. Deploy models via APIs, batch inference systems, and cloud-native platforms (AWS/Azure). Champion security, scalability, and compliance in AI design. Translate business needs into AI-driven solutions for underwriting, claims, and operations. Partner with business and technology leaders to prioritize AI accelerators and strategic initiatives. Depth and leadership expectations vary by experience level) Programming & Tools: Strong in Python, SQL, Pandas/NumPy; experience with TensorFlow or PyTorch. MLOps & Cloud: Familiarity with MLflow, Kubeflow, Airflow, Docker, Kubernetes; exposure to AWS/Azure ML services. Data Systems: Understanding of data pipelines, Spark/Hadoop, and real-time feature stores. GenAI & NLP: Experience with LLMs, RAG pipelines, and intelligent document processing. Awareness of responsible AI, explainability, and model lifecycle management. Opportunity to influence global AI transformation in insurance. Diverse career growth — from hands-on engineering to solution architecture and leadership. Work with real-world insurance data and global stakeholders. Learn from and contribute to cutting-edge AI practices and frameworks. com and become part of our journey to redefine underwriting through intelligence and innovation.

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