What are the responsibilities and job description for the Data Engineer (ML Ops team) position at The Hartford?
Data Engineer - GE08AE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford’s Actuarial strategic modeling team is seeking a Data engineer to support MLOps and Generative AI services. This role will be part of a dedicated hybrid actuarial / data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes. The individual will work closely with our data science, actuarial and data engineering partners to aid in the development of actuarial tools. There will also be opportunities to develop training and set standards for the department.
This role is a Hybrid work schedule role that can be located in one of our four office locations (Hartford, CT , Charlotte, NC, Chicago, IL, and Columbus, OH).
Core Values :
Build AI / ML solutions, not just models.
Trusted and transparent collaboration.
Deliver safe, monitored products.
Earn influence through humble confidence.
Deliver viable products and evolve based on feedback.
Responsibilities :
Support our Actuarial partners in deploying applications in AWS.
Troubleshoot and debug complex problems
Implement frameworks and technologies for AI / ML decision making.
Assess new data sources and techniques.
Development, and maintain of MLOps and GenAI platforms.
Deliver model deployment in AWS cloud.
Promote MLOps best practices.
Minimum Requirements :
Authorized to work in the U.S without sponsorship now or in the future.
Bachelors Degree or 2 years of experience.
Experience with python, CICD pipelines and practices (GIT), and some experience with big data technologies (AWS / GCP / AZURE)
Experience in Cloud data warehouses (snowflake or equivalent), data pipelines and automation is a plus
General understanding of model development lifecycle and orchestration frameworks.
Preferred Skills :
- Experience with supporting python applications / services
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is :
100,960 - $151,440
Equal Opportunity Employer / Females / Minorities / Veterans / Disability / Sexual Orientation / Gender Identity or Expression / Religion / Age
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Human achievement is at the heart of what we do.
We believe that with the right encouragement and support, people are capable of achieving amazing things.
We put our belief into action by ensuring individuals and businesses are well protected, and by going even further – making an impact in ways that go beyond an insurance policy.
Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines – from developing the latest technology to creating and promoting our products to evaluating future financial risks.
We’re also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it’s the right thing to do, and because when our customers, communities and employees succeed, we all do.
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Salary : $100,960 - $151,440
