IND Senior Software Engineer

The Hartford; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

The Hartford in Hyderabad seeks an experienced Senior Software Engineer focused on ML platform development and operations. You will collaborate with data scientists to onboard models, monitor drift and performance, and implement robust CI/CD pipelines for monitoring solutions in cloud environments.

Responsibilities include data quality validation, KPI tracking across demographics, and documenting model health trends.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field.
• 5+ years of professional experience with a Bachelor’s degree, or 3+ years with an advanced degree.
• 3+ years collaborating with engineering leads and data science teams on ML systems.
• 4+ years of hands-on experience with public cloud platforms (GCP/AWS/Azure).
• 2+ years IaC experience using Terraform for ML environments.
• 5+ years of software development with Python/Java or equivalent.
• 3+ years experience with ML frameworks such as TensorFlow or Scikit-Learn.
• 3+ years understanding model/data drift and monitoring strategies.
• 3+ years CI/CD and MLOps practices in agile environments.
• Strong communication and collaboration skills; experience with enterprise AI tools is a plus.

Responsibilities

• Model monitoring & observability: onboard models, monitor drift, and set up alerts for KPIs.
• Data quality: perform QC checks and build data pipelines for validation.
• Performance evaluation: track accuracy, precision, recall, and fairness across slices.
• Infrastructure & automation: build CI/CD for monitoring solutions and ML deployments.
• Documentation: maintain logs and periodic reports on model health and trends.

Skills

Collaboration with data science teams

Cloud platforms (GCP/AWS/Azure)

Python/Java development

ML frameworks (TensorFlow/Scikit-Learn

CI/CD / MLOps

Agile / SAFe

Stakeholder communication

Analytical thinking

Gen AI tools & productivity tools

Model monitoring & drift concepts

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Terraform

Arize (observability)

SageMaker / Vertex AI / similar

Job description

IND Senior Software Engineer - GCC123

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.

Key Responsibilities

Model Monitoring & Observability Collaborate with Data Scientists to onboard models into monitoring systems (e.g., MHM database) and maintain configuration files for drift and performance checks. Support retraining workflows when drift or degradation is detected. Implement monitoring frameworks to track data drift, training-serving skew, and model performance metrics in production environments. Utilize observability tools like Arize to set up monitors for accuracy, precision, recall, and other KPIs. Configure automated alerts for anomalies in input/output distributions and performance degradation.

Data Quality Assurance Perform QC checks on incoming data to validate integrity and completeness before model scoring. Develop pipelines for continuous validation of data sources and ensure compliance with quality standards.

Performance Evaluation Monitor KPIs such as accuracy, precision, recall, and fairness across demographic slices. Conduct root-cause analysis for performance degradation and recommend retraining strategies.

Infrastructure & Automation Build and maintain CI/CD pipelines for deploying monitoring solutions and model updates. Leverage cloud technologies for scalable monitoring and orchestration.

Documentation & Reporting Maintain detailed logs of monitoring activities, thresholds, and alerts. Provide periodic reports on model health, including drift metrics and performance trends.

Required Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field; 5+ years of professional experience with a Bachelor’s degree, or 3+ years of experience accepted with an advanced engineering degree combined with applied academic, internship, or hands‑on project experience focused on machine learning, GenAI, or full‑stack software development.
• 3+ years of experience collaborating with engineering leads and data science teams on the design, development, and scaling of machine learning systems, with a focus on reliability, scalability, and security.
• 4+ years of hands‑on experience working with public cloud platforms such as Google Cloud Platform, AWS, and/or Azure to deploy, operate, and scale ML workloads.
• 2+ years of hands‑on experience building Infrastructure as Code (IaC) using tools such as Terraform to support ML environments and pipelines.
• 5+ years of software development experience using programming languages such as Python, Java, or equivalent object‑oriented or scripting languages, including production‑grade ML or data applications.
• 3+ years of experience working with machine learning and AI frameworks or platforms such as TensorFlow, scikit‑learn, Anaconda, SageMaker, Vertex AI, or Agentic AI tooling.
• 3+ years of experience understanding model drift and data drift concepts and contributing to the design and implementation of monitoring, validation, and retraining strategies for ML and AI systems.
• 3+ years of working knowledge of CI/CD and MLOps practices, including automated testing, model validation, automated deployments, and integration pipelines.
• 3+ years of experience working in agile development environments, with SAFe experience required.
• 4+ years of experience collaborating and partnering with business leaders, engineering teams, and data science stakeholders to deliver machine learning solutions aligned to business outcomes.
• Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to diverse audiences.
• Familiarity with agentic productivity and AI developer tools such as Claude Code, Gemini CLI, OpenAI Codex, or similar tools is a plus.
• Experience enabling or supporting enterprise AI services such as Gemini Enterprise, Amazon Q, Microsoft Copilot, or similar platforms is a plus.
• Strong analytical, critical thinking, and problem‑solving abilities, with a demonstrated willingness to challenge the status quo, take ownership, and drive innovation and continuous improvement in AI platform development.
• Ability to work both independently and collaboratively in a fast‑paced, agile environment, demonstrating accountability, initiative, and a bias for action.

Nice to Have

• Understanding of Agile framework is a plus
• Experience leveraging Gen AI tools to accelerate insight generation

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.