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Machine Learning Engineer
JOB SUMMARY
Roles
Skills & Technologies
Job details
About the Role:You will be part of the Converge Engineering team, reporting to the Head of Engineering.
You’ll be implementing and optimizing innovative production ready analytics code as well as maintaining Python repositories and building tests. Responsibilities:Transform specs into efficient, production ready python code as part of an agile 3 week sprint development processExplore new data-sources and their applicability to the Converge platformExtract and create data to productionize theoretical models and analytics componentsResearch and build predictive models for the probability of cyber attack, and other data driven applications in the platformAnalyze data and derive insightsContinuously maintain, test and improve models and provide concise reporting of resultsCreate and orchestrate microservices via Airflow and Docker containersContinuously test and deploy microservices via CI / CDRefactor, unit-test, and maintain Python codebaseWork with different team members and stakeholders representing all areas of the businessRegularly prepare and present content to stakeholders within ConvergeAssist with platform development more broadly when required
Qualifications
:5+ years professional experience in ML Engineering or related field (Data Science, AI, Modeling, etc. ) using PythonBS in Computer Science or relevant fieldCompetency in ML python packages such as Pandas, NumPy, PySpark, scikit-learn, Anaconda, TensorFlow, etc. Proficiency with feature stores, Graph databases, SQL, NoSQL, Data Lakes and other data storage technologiesExperience with data visualization toolsApplied statistics skills, such as regression, explainability, distributions, and statistical testingUnderstanding of standard machine learning algorithms and graphical modeling, and having successfully applied several in the correct contextProficient understanding of version control best practices using GitPhysical
Requirements
Prolonged periods sitting at a desk and working on a computer. Ability to lift up to 15 pounds occasionally. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Compensation
Benefits
Pay Range: $135,000 – $185,000 annually (commensurate with experience and
location
). Total Compensation Context: This role may be eligible for annual performance bonuses and equity participation.
Benefits
Overview: Converge provides comprehensive health
benefits
(medical, dental, vision), a 401(k) plan with employer contribution, and flexible paid time off (PTO). EEO StatementConverge Insurance is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, gender identity, or sexual orientation), national origin, age, disability, veteran status, or any other legally protected characteristic. Salary: $135k - $185k.
You’ll be implementing and optimizing innovative production ready analytics code as well as maintaining Python repositories and building tests. Responsibilities:Transform specs into efficient, production ready python code as part of an agile 3 week sprint development processExplore new data-sources and their applicability to the Converge platformExtract and create data to productionize theoretical models and analytics componentsResearch and build predictive models for the probability of cyber attack, and other data driven applications in the platformAnalyze data and derive insightsContinuously maintain, test and improve models and provide concise reporting of resultsCreate and orchestrate microservices via Airflow and Docker containersContinuously test and deploy microservices via CI / CDRefactor, unit-test, and maintain Python codebaseWork with different team members and stakeholders representing all areas of the businessRegularly prepare and present content to stakeholders within ConvergeAssist with platform development more broadly when required
Qualifications
:5+ years professional experience in ML Engineering or related field (Data Science, AI, Modeling, etc. ) using PythonBS in Computer Science or relevant fieldCompetency in ML python packages such as Pandas, NumPy, PySpark, scikit-learn, Anaconda, TensorFlow, etc. Proficiency with feature stores, Graph databases, SQL, NoSQL, Data Lakes and other data storage technologiesExperience with data visualization toolsApplied statistics skills, such as regression, explainability, distributions, and statistical testingUnderstanding of standard machine learning algorithms and graphical modeling, and having successfully applied several in the correct contextProficient understanding of version control best practices using GitPhysical
Requirements
Prolonged periods sitting at a desk and working on a computer. Ability to lift up to 15 pounds occasionally. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Compensation
Benefits
Pay Range: $135,000 – $185,000 annually (commensurate with experience and
location
). Total Compensation Context: This role may be eligible for annual performance bonuses and equity participation.
Benefits
Overview: Converge provides comprehensive health
benefits
(medical, dental, vision), a 401(k) plan with employer contribution, and flexible paid time off (PTO). EEO StatementConverge Insurance is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, gender identity, or sexual orientation), national origin, age, disability, veteran status, or any other legally protected characteristic. Salary: $135k - $185k.
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Converge Insurance United States
