Why you should apply for a job to The Hartford:
Ranked as one of the Best Companies Where CEOs Support Gender Diversity in 2022
4.5/5 in overall job satisfaction
4.5/5 in supportive management
77% say women are treated fairly and equally to men
88% would recommend this company to other women
95% say the CEO supports gender diversity
The Professional Women’s Network (PWN) provides professional support, growth, advancement and networking to enable greater gender balance.
The Hartford offers diversity awareness training known as Appreciating Differences and Managing Inclusion.
Employees will be provided with leave of up to four weeks and paid at a rate of 100 percent of their base pay.
#R2311665
Position summary
You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.
The Hartford seeks energetic and passionate Senior Machine Learning Engineer to build Machine Learning Operations (MLOps) services for data science teams. Our Data science team has developed industry-leading capabilities, driving streamlined processes and smarter decision making. We support a variety of functions including Actuarial, Product, Underwriting and Sales. As a Senior Machine Learning Engineer within the MLOps organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise.
We are looking for talent who embraces our core values:
- We build solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
- We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
- We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
- We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
- We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.
Responsibilities
- Research, experiment with, and implement suitable ML algorithms, tools and technologies.
- Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques to ensure ongoing competitive advantage.
- Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
- Accountable for ownership of design, development and maintenance of Model as Service
- Work with junior engineers and peers to provide mentorship and thought leadership.
- Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
- Delivery of critical milestones for model deployment in the AWS cloud.
- Adopt and promote MLOps best practices to the Data Science community.
Qualifications
- Must be authorized to work in the U.S. now and in the future.
- Master’s degree in related field or 5+ years of equivalent experience in a research function.
- Fundamentally strong with Data Structures and algorithms.
- Experience building and deploying Web Services in a Cloud environment.
- Experience building CICD pipeline using Jenkins or equivalent.
- Strong application development experience using Python, Java, Scala or R.
- Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS.
- Experience in end to end model development lifecycle, from ideation through post production monitoring.
- Experience with Solution Design and Architecture of data pipelines.
- Basic understanding of Data Science model development life cycle.
- Development experience for Web Service API with AWS suite of Tools.
- Familiarity with Sage Maker, Python Flask or Spring Boot.
- Experience working with Docker, Kubernetes and EC2 environment.
- Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn, H20,
- Experience with Agile framework.
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:
$110,560 - $165,840
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits
Sr Data Engineer - GE07BE
Skills:
What are The Hartford perks and benefits
Lactation facilities
Fertility
Elder care
Child care subsidies
About the company
As an insurance company, we're in the business of helping others. For more than 200 years, we’ve done so, and continue to, with property and casualty insurance, group benefits and mutual funds. But we’re also committed to making sure our impact goes far beyond an insurance policy. And our employees come together – no matter where they’re located - in pursuit of that common goal. ...
Why you should apply for a job to The Hartford:
Ranked as one of the Best Companies Where CEOs Support Gender Diversity in 2022
4.5/5 in overall job satisfaction
4.5/5 in supportive management
77% say women are treated fairly and equally to men
88% would recommend this company to other women
95% say the CEO supports gender diversity
The Professional Women’s Network (PWN) provides professional support, growth, advancement and networking to enable greater gender balance.
The Hartford offers diversity awareness training known as Appreciating Differences and Managing Inclusion.
Employees will be provided with leave of up to four weeks and paid at a rate of 100 percent of their base pay.
