Job Description

An employer in the underwriting insurance industry is looking for a Sr. Data / Machine Learning Engineer to join the team and sit fully-remote. This person will be responsible data optimization and execution--they will conceptualize and build data lakes in Azure, utilize Python libraries for data pipelines and cleaning, and collaborate with business teams to absorb project requirements. They will help automate underwriting processes by integrating web platforms with SQL databases, as well as leverage historical data for efficient decision-making. Lastly, they will establish ML Operations practices, including model deployment and monitoring, and transition conceptual designs into production-ready tools.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

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Skills and Requirements

5+ years of relevant professional experience as a Data Engineer, Data Scientist, or ML Engineer.

Proficient in building robust data pipelines using Python and Spark.

Experience with data extraction, transformation, and loading (ETL) processes.

Able to design and implement data lakes within the Azure ecosystem.

Strong skills in cleaning and preprocessing data.

Proficiency in SQL for querying and manipulating data.

Solid understanding of machine learning algorithms and techniques.

Experience in developing and deploying ML models.

Knowledge of data warehousing concepts and best practices - able to integrate data from various sources into a unified repository. Familiarity with NVIDIA DGX A100 systems and their application in data-intensive environments. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.