About us

bolt is the leading insurance exchange for the P&C insurance industry, uniting distributors, and providers on a single platform to transform the way insurance is bought and sold. The result is the world’s biggest exchange, working with two-thirds of America’s leading carriers and connecting more people with ways to protect the things they value.

In this position you will…

bolt is looking for Lead AI and Machine Learning Engineer to join our growing AI and Machine Learning team on a full-time basis as part of the bolt AI & Data Analytics group.

Our product is a complex, multi-tenant, web-based SaaS platform, built on a micro services architecture. AI & Data Analytics group is responsible for delivering our customers with actionable insights, embedded on the SaaS platform. You will be a key player in our AI/ML team and take part in designing and delivering analytics solutions to new and existing customers. You will help integrate new technologies, capabilities, and methodologies. You will assist and mentor others to improve existing systems. You will take ownership of the AI/ML models and help optimize the deliverables.

You would be working with niche technologies to build the next-gen big data solutions. In addition, you will have opportunities to explore into the world of cloud computing, machine learning, artificial intelligence (LLMs, Gen AI, etc.,) self-service analytics, data services and many more

You will be responsible for…

• Develop GenAI and LLM models to solve bolt’s ongoing market needs
• Develop and maintain Machine Learning (ML) models used in our predictive and diagnostics models
• End-to-End Machine Learning Application delivery which includes Planning, Design, Development, Testing, and Delivery of Application(s)
• Handson experience with building RAG-based LLM applications with AWS Bedrock and Databricks
• Developing open-source, cloud enabled, microservice based, scalable platforms that provide amazing consumer experience, whilst building cutting-edge technology that provides device protection with a unique value proposition
• Implementing requirements of the API layer like security, custom analytics, throttling, caching, logging, request, and response modifications etc. using the API management platform
• Implementing API monitoring and system support for production application services client facing environments
• Ensuring timely development of POC’s and prototypes prioritizing quick time to market with MVP features
• Applying Agile techniques to deliver key features quickly to ensure stories are delivered in incremental manner e.g., breaking down the stories in the right sizes, scheduling them, encourage sustainable workloads etc.
• Continuously research new technical capability and solutions for adoption

For you to be successful…

We expect you to be able to demonstrate the following key competencies:

• Impactful: Has a clear understanding of team’s objectives and aligns efforts to these goals
• Empowered to be quick to act and take steps to address issues
• Curious: Engages in learning activities and is interested in understanding different ways of doing things including the key activities performed by others in team
• Keeps up to date on relevant frameworks, applications, software, and/or tools
• Collaborative: Builds diverse networks and cooperative key working relationships to work in partnership with others. Co-operates with team members to resolve problems and achieve goals
• Creative: Identifies beneficial new approaches and ways of looking at problems, introduces them within team. Experiments with new trends and innovations and is an early adopter where they can benefit team
• Literacy – Digital, Tech & Data: Proficient and competent in navigating and using digital, data and technology tools and software applications relevant to role including performing basic trouble shooting strategies

You will require the following qualifications and skills

• Master’s Degree or PhD in the fields of Computer Science, Statistics, or an equivalent with a minimum of 10 years of experience in data science and ML Ops Engineering and AI modelling
• Familiarity with Gen AI foundation models and Amazon Bedrock
• Should have working knowledge of and being hands on with GenAI / LLM models
• Should have expertise in Deep Learning & Reinforcement Learning techniques
• Should have experience in building statistical models using the above-mentioned techniques
• Should possess ability to build & deploy the models and interpret the results to business users
• Should have experience working with NLP models and building related applications such as chatbot, text-classifications, etc
• Should have experience working with big data tools such as Hadoop, Hive, Spark.
• Proficiency in Python, good understanding of OOPs is a must.
• Worked with at least one mainstream machine learning framework such as TensorFlow, PyTorch, LangChain
• Experience working with Cloud platforms (Azure, AWS, GCP,) ideally AWS
• Should have ability to write complex SQL & stored procedures
• Should have experience in working with API’s - deploying models, extracting data.
• Should have good communication skills and ability to interact with customers
• Good grasp of Microservices based Architecture
• Previous hands-on experience in training and developing ML models is preferred
• Exposure to MLOps solutions from AWS/GCP is a major plus (AWS SageMaker, AWS Lambda, GCP Vertex, Kubeflow etc.) - AWS is preferred.
• Experience building applications using services provided by AWS such as S3, SQS, SNS and Kinesis
• Familiar with CI/CD tooling.
• Exposure to Infrastructure as code (IaC) tooling such as Terraform or CloudFormation is an advantage
• Knowledge in web services especially in REST API and tools such as Postman
• Working experience in a Linux based environment
• Knowledge in source code repository and branching models in Git and usage of tools such as GitHub, GitLab, Bitbucket etc.

Diversity and Inclusion

At bolt, we are diverse and inclusive. We value each person's unique skills, background, and identity. We never discriminate on cultural background, religion, sex, gender, gender identity or expression, sexual orientation, age, disability, veteran status, genetic information, marital or family status or any legally protected status. Everyone belongs. And because everyone’s different, we’re also flexible in the ways we work, so each person can bring their best efforts every day.