AI/ML Engineer - Transforming Insurance Claims
About the Role
We are seeking an experienced AI/ML Engineer to join our team remotely. In this role, you will be instrumental in transforming insurance claims processes through innovative AI solutions. As an AI/ML Engineer, you will work with a dynamic team dedicated to enhancing customer experiences and improving operational efficiency.
What You'll Do
- Build AI systems to improve accuracy, speed up claims assessments, and enhance customer experience.
- Collaborate with insurance specialists to turn claims processes into AI-driven workflows.
- Deploy solutions using LLMs, LangChain, and RAG at scale across insurers.
- Move fast, experiment, and ship production-grade AI features.
- Engage with stakeholders to ensure alignment on project goals and deliverables.
Requirements
- 2-3+ years of experience in AI/ML engineering or research.
- Proven track record of delivering AI/ML projects from concept to production, improving key metrics.
- Passion for shipping quickly and iterating on feedback.
- Excellent communication skills with non-technical stakeholders.
- Comfortable working in fast-paced, high-growth startup environments.
Nice to Have
- Experience with cloud platforms such as AWS or Azure.
- Familiarity with data engineering concepts.
- Knowledge of insurance industry processes.
What We Offer
- Competitive salary and equity options.
- Bonuses based on performance.
- 30 days remote work per year.
- UK visa sponsorship available.
- Opportunity to work in a fast-paced, innovative environment.
This AI/ML Engineer role offers a unique opportunity to work in a rapidly growing InsurTech startup. With competitive compensation and the chance to impact real-world processes, this position stands out.
About Generative
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Who Will Succeed Here
Proficient in Python and experienced with frameworks like TensorFlow or PyTorch for building and deploying machine learning models, especially in the context of insurance claims processing.
Self-motivated and disciplined, thriving in a remote work environment while effectively managing time and prioritizing tasks to meet project deadlines.
Strong analytical mindset with a proven ability to interpret complex data sets and derive actionable insights, particularly in the insurance or financial sectors.
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