Staff Engineer/AI-ML Engineer

The Hartford; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

The Hartford is seeking a Staff Engineer in Hyderabad, India to advance Generative and ML initiatives. You will design, implement, and maintain ML models as services deployed on AWS and GCP, while guiding junior engineers and collaborating with data science, cloud, and enterprise architecture teams.

Ideal candidates bring strong Python/Java/C# development, hands-on cloud experience, and a track record of building scalable data pipelines.

Qualifications

• Experience with AWS and GCP cloud tools.
• Experience deploying web services in a cloud environment.
• Proficient in building repeatable architectural patterns and eliminating redundancies.
• Strong knowledge of CI/CD pipelines and IaC (Terraform/CloudFormation).
• Familiar with big data tech and RDBMS like Redshift/Snowflake/BigQuery.

Responsibilities

• Research, experiment with and implement Generative and ML algorithms.
• Deliver models as a Service and deploy in AWS/GCP clouds.
• Mentor junior engineers and provide thought leadership.
• Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement and Enterprise Architecture teams to meet milestones.

Skills

Python

Java

C#

Data structures & algorithms

Agile methodologies

Tools

SageMaker

Streamlit

Docker

Kubernetes

Jenkins

Terraform

CloudFormation

Github Actions

Apache Airflow

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

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

Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.