PythonWhat We’re Looking For
Proven experience as a Machine Learning Engineer, Data Scientist, or similar role
Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment
Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.
Experience working with natural language processing (NLP) or computer vision is highly desirable.
Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.
Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.
Familiarity with data architecture, data engineering, and data pipeline tools.
Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.
Knowledge of the insurance sector is beneficial but not required.
Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.
What You’ll Be Doing
Algorithm Development:
Design and implement advanced machine learning algorithms tailored for our datasets.
Model Creation:
Build, train, and refine machine learning models for business integration.
Collaboration:
Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.
Industry Innovation:
Stay updated with Insurtech trends and ensure our solutions remain at the forefront.
Validation:
Test algorithms for accuracy and efficiency, collaborating with the QA team.
Documentation:
Maintain clear records of algorithms and models for team reference.
Professional Growth:
Engage in continuous learning and mentor junior team members.
Shubham Vishwakarma
Full Stack Developer - Averlon
About OIP Insurtech
About
OIP Insurtech streamlines insurance operations and optimizes workflows by combining deep industry knowledge with advanced technology. Established in 2012, OIP InsurTech partners with carriers, MGAs, program managers, and TPAs in the US, Canada, and Europe, especially the UK.
With 1,200 professionals serving over 100 clients, we deliver insurance process automation, custom software development, high-quality underwriting services, and skilled tech staff to augment our clients.
While saving time and money is the immediate win, the real game-changer is giving our clients the freedom to grow their books, run their businesses, and focus on what they love. We’re proud to support them on this journey and make a positive impact on the industry!
Tech stack
Python
Data Science
Machine Learning (ML)Candid answers by the company
Our robotics team has all graduated from our insurance boot camp. They code insurance for a living and bring with them best practices from more than 80 different systems across the insurance ecosystem.
They’ve seen what works for E&S businesses – they’ve built them. And they know what it takes to help your team deliver the better result.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon