Staff Software Engineer/AI-ML

The Hartford India; Hyderabad; On-site; INR 4,200,000 - 6,800,000; Full time

Job summary

The Hartford India is seeking an experienced IND Staff Engineer to drive advanced ML initiatives, architect scalable data pipelines, and deploy models as services across AWS and GCP. You will mentor teammates, collaborate with cross-functional partners, and implement robust CI/CD and IaC practices in a fast-paced insurance tech setting.

Ideal candidates have hands-on experience with Python/Java/C#, modern ML frameworks, and strong cloud-native architecture skills, with a focus on end-to-end

Qualifications

• Experience with AWS and GCP cloud ecosystems.
• Familiarity with SageMaker, Streamlit, web security, credentials and API management tools.
• Experience building and deploying web services in the cloud.
• Experience with CI/CD pipelines (Jenkins or equivalent).
• Experience with Infrastructure as Code (Terraform, CloudFormation or similar).
• Expert Github experience, including Github Actions.
• Strong OO development in Python, Java, or C#.
• Familiarity with big data (Hadoop, Spark, Hive) and RDBMS (Redshift, Snowflake, BigQuery).
• End-to-end model development lifecycle from ideation to post-production monitoring.
• Experience with workflow automation (Airflow, Autosys).
• Experience with data pipeline architecture and design.
• Basic understanding of data science model development lifecycle.

Responsibilities

• Research, experiment with and implement Generative/ML algorithms and tools.
• Identify opportunities for new data sources and analytical techniques.
• Review deliverables with leadership to calibrate against expectations.
• Design, develop and maintain Models as a Service.
• Mentor junior engineers and present concepts to technical audiences.
• Collaborate with Enterprise Data, Data Science, Business and Cloud teams.
• Deliver milestones for model deployment in AWS and GCP clouds.
• Promote MLOps best practices among the data science community.

Skills

AWS

GCP

SageMaker

Streamlit

CI/CD

GitHub Actions

Python

Java

C#

Docker

Kubernetes

Terraform

CloudFormation

BigQuery

Redshift

Snowflake

Spark/Hadoop

Airflow

Autosys

ETL/Data pipelines

Tools

AWS

GCP

Jenkins

Docker

Kubernetes

EC2

Terraform

CloudFormation

Job description

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