Senior Machine Learning Engineer
1 dzień temu
Kalepa is a pioneering company in the commercial insurance industry, leveraging cutting-edge technology to revolutionize the way underwriters make decisions. Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions, resulting in significant improvements to their top and bottom lines.
Our team members bring expertise from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital.
Our ValuesKalepa is committed to unlocking the potential of our employees through our core principles:
- Hustle & Grit - We expect everyone at Kalepa to excel in their craft and be relentless in pursuing their goals. Our exceptional speed and determination are our biggest differentiators.
- Customer Focus - We prioritize the work that drives our clients' growth, profitability, and efficiency. We solve our customers' most strategic problems.
- Meritocracy - We reward tremendous results with rapid promotions and compensation growth. Exceptional people excel at Kalepa.
- Transparency - We are honest with each other. We cut to the heart of the matter and figure it out together.
- Experimentation - We tackle complex problems by quickly testing, measuring, and iterating to determine the path to success.
We have remote employees speaking 10+ languages across the globe. We invest in bringing our people together for regional meetups and global offsites.
About the RoleKalepa is seeking a Senior Machine Learning Engineer with 5+ years of experience to lead the framing, development, and deployment of machine learning models at scale. As a Senior MLE, you will own projects from 0 to 1, launching new features and enriching the underwriting process with valuable insights.
Our team works in two-week sprints, delivering high-quality results. You will work closely with Product Management and Software Engineers, driving project direction and maintaining focus.
Key ResponsibilitiesTurning vast amounts of structured and unstructured data into novel insights about behavior and risk
Designing, building, and deploying machine learning models to tackle our customers' questions
Collaborating with a small team of full-stack, data, and DevOps engineers
Applying to this role if you have:
- Minimum of 5 years of experience
- In-depth understanding of applied machine learning algorithms, especially NLP, and statistics
- Experience in Python and its major data science libraries, with deployed models and algorithms in production
- Comfort with data science and engineering required to bring models to production
- Experience with AWS (nice-to-have)
- Hands-on experience with data analytics and data engineering (nice to have)
- Excitement about using a comprehensive set of technologies, focused on finding the right tool for the job
- Preference for an open, frank, and respectful communication style
We offer a very competitive base salary, significant equity options package, 20 paid vacation days a year, paid Bank Holidays, unlimited Sick Leave, Gym Reimbursement, Mobile phone bill reimbursement, and Continued learning opportunities.
We invest in our employees' growth and well-being, providing a comprehensive package that supports their success.
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