Senior Gen AI/ML Engineer

Summary

Join Integrated Specialty Coverages (ISC), a leading Insurtech company, as a Senior Gen AI/ML Engineer. You will be a key player in applying AI and ML solutions to complex insurance problems, leveraging generative AI for innovation and efficiency. This remote role involves developing and deploying machine learning models, working with cutting-edge technologies, and mentoring junior data scientists. You will collaborate with engineering and DevOps teams to ensure seamless integration and scalability. The position requires extensive experience in AI/ML, particularly generative AI, and strong communication skills. ISC offers a competitive salary and comprehensive benefits package.

Requirements

• Bachelor’s Degree or higher in machine learning, computer science, mathematics, statistics, or similar quantitative field
• 5+ years of relevant model development and deployment experience, preferably within the insurance industry
• Proven experience in prompt engineering, LLM fine-tuning, and LLM evaluation
• Experience working with RAG architecture, including embedding models, retrieval mechanisms, and integration with LLMs
• Proven experience building and deploying machine learning models
• Proficiency in writing production-quality, scalable code using Python; experience with scikit-learn, PyTorch, TensorFlow, huggingface, Keras, etc
• Strong working knowledge of MLFlow, Docker, Git, and SQL
• Experience in creating and integrating APIs for model deployment
• Exceptional problem-solving skills with the ability to think strategically
• Demonstrated experience innovating and extracting insights from multiple data types including unstructured data
• Strong communication skills
• Ability to quickly and efficiently adapt to new concepts and changing project scopes
• Ability to thrive in a remote team environment

Responsibilities

• Utilize expertise in generative AI technologies to develop innovative solutions for underwriting, risk assessment, claims processing, and customer engagement
• Think big about the arc of development of generative AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
• Work closely with engineering and devops teams to ensure seamless integration, deployment, and scalability of machine learning models within the existing infrastructure
• Keep abreast of the latest developments in AI and machine learning, particularly in generative models, to inform strategy and implementation
• Build, deploy, maintain, and optimize machine learning models
• Adhere to best practices for model validation, testing, and monitoring to ensure performance and reliability
• Provide guidance and mentorship to junior data scientists, fostering a culture of learning and professional growth within the data science team
• Effectively communicate complex analytical findings to both technical and non-technical audiences through reports, presentations, and visualizations
• Proactively identify areas for improvement in existing models and processes, advocating for and implementing enhancements

Preferred Qualifications

• Experience building & deploying models with AWS tools (Bedrock, Sagemaker, Comprehend, S3, etc.)
• Familiarity with data visualization tools (Power BI)

Benefits

• Medical, dental and vision insurance
• 401(k) plan with match
• Paid time off
• Employee Ownership Program
• Professional development opportunities
• Owner Referral Program
• Work from home reimbursement for remote/hybrid roles
• Burnalong digital health and wellness platform
• Canary emergency financial assistance program
• Life/AD&D Insurance
• Confidential, Employee Assistance Program
• Health Savings Account, includes company contribution
• Short-term disability
• Voluntary benefits - supplemental accident, critical illness, hospital insurance
• Employee discounts
• Various Time Off Programs
• 11 company paid holidays