Staff Engineer/AI-ML Engineer

The Hartford India; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

The Hartford India is looking for an IND Staff Engineer responsible for designing, developing, and maintaining Models as Service, while implementing ML algorithms and technologies. The role requires strong experience in AWS and GCP, Python, and CI/CD pipeline development.

This position will involve collaboration with multiple teams to ensure competitive advantages are sustained through innovative use of data. Ideal candidates will have a background in insurance or financial services.

Qualifications

• Development experience using AWS and GCP suite of tools.
• Expert-level experience with Github including GitHub Actions.
• Experience in end-to-end model development lifecycle.

Responsibilities

• Research and implement ML algorithms and technologies.
• Collaborate with teams to ensure ongoing competitive advantage.
• Accountable for design and maintenance of Models as Service.

Skills

AWS suite tools

GCP suite tools

Python

Java

C#

Data Structures

SQL development

MLOps best practices

Github Actions

CI/CD pipelines

Education

Experience in ML engineering and data manipulation

Familiarity with emerging data technologies

Tools

SageMaker

Docker

Kubernetes

Apache Airflow

Terraform

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