IND Senior Software Engineer
Today• Hyderabad, India
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.
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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
Client-provided location(s): Hyderabad, India
Job ID: Hartford_Fire_Insurance_Company_FGB-7045
Employment Type: FULL_TIME
Posted: 2026-10-16T19:29:40
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
- Fitness Subsidies
- FSA
- HSA
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Hybrid Work Opportunities
- Remote Work Opportunities
- Flexible Work Hours
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- On-Site Cafeteria
- Company Outings
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Volunteer Time Off
- Personal/Sick Days
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- Profit Sharing
Professional Development
- Internship Program
- Leadership Training Program
- Associate or Rotational Training Program
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Lunch and Learns
- Learning and Development Stipend
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
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