Machine Learning Engineer

This is a full time direct hire position, base salary $100K to $125K, full benefits, and 100% remote – work from home. Sorry no sponsorship offered for this position.

Senior Machine Learning Engineer


Join one of the fastest growing P&C Insurtech teams going! Make the most of your ML engineering talents on a team which designs and develops cutting edge products for our Members using the latest in data platform technologies. This is a great time to join the company and help shape the future for Accelerant. Summary as follows

Key Responsibilities

· Applying data mining, machine learning, and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyse data sets

· Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate

· Train and retrain systems when necessary

· Work collaboratively in a group of passionate developers to build and model data pipelines in fast paced and outcome-oriented environment

· Unifying, enriching and analysing members data to derive new insights and opportunities

· Leveraging in-house data platforms as needed, and recommending and building new data platforms/solutions as required to meet business requirements

· Clearly communicate findings, recommendations and opportunities to improve data systems and solutions

· Demonstrate deep understanding of and ability to teach data science, concepts, tools, features, functions and benefits of different approaches to apply them


Required Skills/Experience

· An MSc or PhD in a technical field like Computer Science, Mathematics, Computer Engineering, or a related field

· 5+ years of practical experience with advanced machine learning techniques and algorithms

· A thorough understanding of Python programming language and associated machine learning libraries/packages

· Experience in multiple tools/services/frameworks within Azure cloud platform (Azure Machine Learning, Azure Cognitive services, Text Analytics, LUIS etc..)

· Excellent business, communication and presentation skills

· The ability to translate complex information into non-technical, easy to understand language

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