At MB Life, we believe that AI is the core driver of breakthroughs in the insurance industry and a key enabler for optimizing the way we work. As a Senior AI/ML Engineer, you will be at the forefront of exploring, evaluating, and applying cutting-edge AI technologies from the open-source community and leading global providers to solve real-world business challenges. Your mission is not to build everything from scratch, but to stand on the shoulders of giants—leveraging the power of pre-trained models, cloud-based AI platforms, and open-source solutions to deliver value quickly, from enhancing customer experiences to automating and accelerating internal software development processes.
Key Responsibilities
1. Research, Experimentation, and Integration of AI Solutions:
Proactively research and evaluate AI models, libraries (e.g., Hugging Face, LangChain), and cloud-based AI services (AWS/GCP/Azure) to identify the most suitable technologies for each use case.
Rapidly build Proof-of-Concept (PoC) prototypes to validate the feasibility and effectiveness of AI solutions before large-scale deployment.
Design system architectures and directly integrate AI solutions into the company’s existing systems (Java backend, Flutter/Dart applications) via APIs.
2. Process Automation and Optimization with AI:
Analyze the Software Development Lifecycle (SDLC) and propose AI-powered tools (e.g., AI Copilots, AIOps, AI for Testing) to improve DORA metrics (accelerating deployment, reducing failure rates).
Develop internal AI systems using Retrieval-Augmented Generation (RAG) techniques to optimize access and utilization of the company’s knowledge base (Jira, Confluence, business documentation).
3. AI Operations and Governance (MLOps):
Deploy AI models/services as containers (Docker) on Kubernetes platforms.
Establish CI/CD pipelines to automate packaging and deployment of AI services.
Build monitoring systems to track performance, costs, and effectiveness of AI services in production; detect and mitigate model drift early.
Implement guardrails to ensure AI solutions are safe, secure, and ethically responsible.
Job Requirement
A Bachelor’s degree in Mathematics, Statistics, Software Engineering, Computer Science, or a related fiel
Experience:
Minimum of 5 years in Software Engineering, with at least 2 years of hands-on experience in applying and deploying AI/ML solutions.
Proven expertise in integrating pre-trained AI models (e.g., Hugging Face) and/or third-party AI services (OpenAI, Google AI, AWS AI) into real-world products.
Experience in building and deploying applications on cloud platforms (AWS, GCP, Azure).
Understanding of software development process optimization and DORA metrics is a significant advantage.
Technical Skills:
Proficiency in Python and AI/ML-related libraries.
Strong experience in API development and integration (REST, gRPC).
Solid knowledge of Docker and a basic understanding of Kubernetes.
Hands-on experience with at least one cloud provider (AWS/GCP/Azure).
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