Machine Learning Engineer
Jersey City, NJ, United States
The North America Sales & Distribution Data Analytics team at Chubb is seeking a machine learning engineer with 2-3+ years of industry experience to join our fast-paced, high-energy team.
As an MLengineer for North America Data Analytics, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the evaluation, implementation, and monitoring of predictive models.
In this role you will:
- Build, test and deploy Machine Learning/Deep Learning tools and pipelines, to solve internal and external business requirements
- Take part in every step of the model creation process from ideation to deployment
- Create and maintain automated and semi-automated data pipelines within on-prem servers as well as in cloud (Azure).
- Play an active role in model deployment and testing.
- Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.
- Effectively communicate with key stakeholders in written, oral and presentation formats.
- Education
- Bachelor’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).
- Required
- Excellent and demonstrable programming ability in Python.
- Significant experience with writing complex SQL queries
- Experience deploying solutions as Databricks jobs/ dockerized containers
- Hands-on experience with big data technologies and cloud (Spark, Azure/AWS/GCP).
- Understanding of LLM functionality and inference techniques
- Working knowledge/familiarity with Git version control.
- Solid understanding of databases and ETL/ELT best practices.
- Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.
- Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills.
- A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends.
- Preferred
- Experience with at least one other programming language (JavaScript, Java, C++/C)
- Experience with Azure suite of applications
- Comfortable with command line (Linux, Windows) scripting.
- Strong expertise in authoring ETL pipelines and processing data at scale.
- Nice to have
- Exposure to technologies such as DBT, Apache AirFlow or Luigi.
- Working knowledge of containers, specifically Dockerizing APIs.
- Exposure to CI-CD pipelines.
- Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).
Location:
- We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ)
- Please note there will be limited expected travel to various work locations for in person collaboration and meetings.
The pay range for the role is $96,300 to $163,700. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
Tags: Airflow APIs AWS Azure Big Data Bioinformatics Computer Science Data Analytics Databricks Data pipelines dbt Deep Learning Elasticsearch ELT Engineering ETL GCP Git Java JavaScript Linux LLMs Machine Learning Mathematics Model deployment MongoDB NoSQL Physics Pipelines Python Spark SQL Statistics Testing Unstructured data
Perks/benefits: Career development Health care Insurance
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