Senior Machine Learning Engineer – $150-230K + Equity
NYC
Startup
Company Overview
Our client is an innovative AI-driven company at the forefront of the commercial insurance industry. With a strong focus on leveraging data and machine learning, the company provides cutting-edge solutions to optimize underwriting processes and accurately assess risks. They have experienced significant growth and are now looking to expand their talented team to further revolutionize the insurance sector. The company is well-positioned in the fintech and B2B spaces, serving a global market with an ambitious and forward-thinking approach.
The Role
We are seeking a highly skilled Senior Machine Learning Engineer to join our client's dynamic team. In this role, you will lead the development, deployment, and scaling of machine learning models that analyze vast amounts of structured and unstructured data, such as web data, geolocation, and satellite imaging. Your insights will be crucial in understanding the risk profiles of various business classes, driving innovative solutions in the commercial insurance space.
Key Responsibilities
- Lead the design, development, and deployment of machine learning models at scale.
- Transform complex data sets into actionable insights to improve risk assessment and underwriting processes.
- Collaborate with cross-functional teams to integrate models into production environments.
- Utilize a wide range of technologies and tools, always focusing on the most effective solutions for the task at hand.
- Engage in open, frank, and respectful communication with team members to foster a collaborative work environment.
Who You Are
- You have 5+ years of experience in engineering and data science.
- You possess a deep understanding of applied machine learning algorithms, with a strong emphasis on natural language processing (NLP) and statistical methods.
- You are proficient in Python and its major data science libraries, with experience deploying models and algorithms in production environments.
- You thrive on solving problems and finding creative solutions, demonstrating a strong "can-do" attitude.
- You are comfortable working across both data science and engineering disciplines to bring models to production.
- You value a culture of transparency and open communication.
Desirable Qualifications
- Experience with AWS or other cloud platforms.
- Hands-on experience with data analytics and data engineering.
About People in AI
At People in AI, we are experts in connecting top-tier talent with leading companies in the AI, fintech, and data science sectors. Our focus is on understanding the unique skills and aspirations of our candidates, ensuring we match them with roles that offer growth, challenge, and opportunity. If you're looking for a career move that will take you to the next level, explore opportunities with us and be part of a network that’s shaping the future of technology.
Apply today to join a company that values innovation, drives industry change, and supports your professional growth in the AI and data science fields.
