Lead - Artificial Intelligence - Insurance

RESPONSIBILITY :

- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems

- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing

- Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset

- Work closely with data scientists and analysts to create and deploy new product features

- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation

- Write efficient and well-organized software to ship products in an iterative, continual-release environment

- Contribute to and promote good software engineering practices across the team

- Knowledge sharing with the team to adopt best practices

- Actively contribute to and re-use community best practices.

REQUIREMENTS :

- University or advanced degree in engineering, computer science, mathematics, or a related field

- 5+ years experience developing and deploying machine learning systems into production

- Strong experience working with a variety of relational SQL and NoSQL databases

- Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.

- Experience with at least one cloud provider solution (AWS, GCP, Azure)

- Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc

- Ability to work in a Linux environment

- Industry experience building innovative end-to-end Machine Learning systems

- Ability to quickly prototype ideas and solve complex problems by adapting creative approaches

- Experience working with distributed systems, service-oriented architectures and designing APIs

- Strong knowledge of data pipeline and workflow management tools

- Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation

- Relevant working experience with Docker and Kubernetes is a big plus.

BENEFITS :

It's always a good idea to include the benefits of the job the company will provide such as:

- Flexible hours to give you freedom and increase productivity

- Life insurance for you and your family members

- Work remotely in the comfort of your home

- Free Gym membership so you can stay in shape

- Fun and energetic weekly team bonding events, etc.