About the role

Aplyr's Quick Take

This role is for a Staff Engineer focused on AI and machine learning at The Hartford. You'll be researching and implementing ML algorithms, mentoring junior engineers, and collaborating with various teams to deploy models in cloud environments like AWS and GCP. It's a hands-on position that requires strong technical skills and experience in cloud services.

Good fit

Ideal candidates have several years of experience in software development, particularly with cloud technologies and machine learning. A collaborative mindset and the ability to mentor others will help you thrive in this role.

Worth noting

The role emphasizes MLOps best practices and requires familiarity with a wide range of tools and technologies, which may be a steep learning curve for some. The position is based in India, which could be a consideration for remote work preferences.

IND Staff Engineer - GCC094

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.

Responsibilities

Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
Accountable for design, development and maintenance of Models as Service
Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
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 and GCP clouds.
Adopt and promote MLOps best practices to the Data Science community.

Minimum Requirements

Development experience using both the AWS and GCP suite of tools.
Familiarity with SageMaker, Streamlit, web security, credentials and API management tools
Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
Experience building and deploying webservices in a cloud environment.
Experience building CICD pipeline using Jenkins or equivalent
Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similar
Expert-level Github experience, including Github Actions
Strong object oriented development experience using Python, Java, C#
Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS platforms such as Redshift, Snowflake or BigQuery
Experience in end to end model development lifecycle, from ideation through post production monitoring.
Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
Experience with Solution Design and Architecture of data pipelines
Basic understanding of Data Science model development life cycle

Preferred Skills

Fundamentally strong with Data Structures and algorithms.
Experience working with Docker, Kubernetes and EC2 environment.
Experience building ML and data pipeline and orchestration services
Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn,
Experience working in an Agile framework.

Qualifications

ML engineering, data manipulation and application development
Python development experience
Working with IAC, developing CICD pipelines
Experience in the insurance or broader financial services industry
SQL development experience
Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes

About Us | Our Culture | What It’s Like to Work Here

Skills & Tags

Aplyr's read

The Hartford is a prominent player in insurance, attracting professionals seeking roles in AI, litigation, and financial analysis within a supportive environment.
Synthesized from recent postings & public sources

What's promising

•The Hartford offers diverse roles, from AI engineering to litigation, appealing to a wide range of professionals.
•It has a strong reputation in the insurance sector, providing stability and growth opportunities.
•The company invests in technology, hiring for roles like Applied AI Data Scientist and Software Engineering Manager.

What to watch

•The insurance industry faces regulatory challenges that could impact The Hartford's operations.
•Competition from other insurers may pressure The Hartford to innovate continuously.
•Limited public information about the company's internal culture and employee satisfaction.

Why The Hartford

•The Hartford's focus on integrating AI into its operations sets it apart in the insurance industry.
•It offers specialized roles in niche areas like subrogation and complex litigation.
•The Hartford's commitment to hybrid work models appeals to tech professionals seeking flexibility.

Aplyr’s read is generated by AI from public sources. Was it useful?

About The Hartford

The Hartford

thehartford.com

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The Hartford is a leading insurance and financial services company that provides a wide range of products and services, including property and casualty insurance, group benefits, and mutual funds.