Staff Software Engineer/AI-ML

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

Job summary

The Hartford India is looking for an IND Staff Engineer to join our dynamic team. This role involves designing, developing, and maintaining Models as Service, mentoring junior engineers, and deploying critical models in AWS and GCP environments.

The ideal candidate will have a strong development background using cloud tools and languages like Python or Java, with a keen understanding of machine learning frameworks and CI/CD pipeline development.

Qualifications

• Experience with AWS and GCP tools.
• Strong development experience with Python, Java, or C#.
• Experience with CI/CD pipelines and Infrastructure as Code.
• Knowledge in machine learning frameworks and data lifecycle.

Responsibilities

• Implement ML algorithms, tools, and technologies.
• Mentor junior engineers and collaborate with cross-functional teams.
• Deploy models in AWS and GCP.
• Promote MLOps best practices.

Skills

AWS tools

GCP tools

Python

Jenkins

Docker

Data Structures

SQL

Machine Learning

GitHub

Agile

Tools

SageMaker

Terraform

Apache Airflow

Hadoop

Spark

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