Time since we first saw it
Day 151
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
Staff Engineer/AI-ML Engineer
India GCC-Puppalaguda Village
Open 5 months, first seen by us 151 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingResearch and implement generative AI and ML algorithms and tools
Design, develop and maintain models as services
Deliver model deployment milestones in AWS and GCP clouds
Mentor junior engineers and present new concepts to technical audiences
Promote MLOps best practices to the data science community
From the employer’s posting
Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
Accountable for design, development and maintenance of Models as Service
Delivery of critical milestones for model deployment in the AWS and GCP clouds.
Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
Adopt and promote MLOps best practices to the Data Science community.
What you’ll bring
All qualificationsCore experience
- Development experience across AWS and GCP tools
- Experience building and deploying web services in the cloud
- Experience building CI/CD pipelines with Jenkins or equivalent
- Experience with infrastructure as code such as CloudFormation or Terraform
- Strong object-oriented development in Python, Java or C#
Preferred experience
- Experience working with Docker, Kubernetes and EC2 environment.
- Experience building ML and data pipeline and orchestration services
- Experience working in an Agile framework.
Qualification wording
Development experience using both the AWS and GCP suite of tools.
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
Strong object oriented development experience using Python, Java, C#
Experience working with Docker, Kubernetes and EC2 environment.
Experience building ML and data pipeline and orchestration services
Experience working in an Agile framework.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 151 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 6, 2026151 days ago
- Recorded sightings
- 310
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
The Hartford is hiring
23 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
- 9% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C#
- Java
- Python
- SQL
- AWS
- BigQuery
- Docker
- GCP
- Hadoop
- Hive
- Kubernetes
- Redshift
- SageMaker
- Snowflake
- Spark
- Terraform
- Airflow
- scikit-learn
- Streamlit
- TensorFlow
Where the posting names them
- 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
- 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
- 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
- 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.
- Fundamentally strong with Data Structures and algorithms. - Experience working with Docker, Kubernetes and EC2 environment. - Experience building ML and data pipeline and orchestration services
- 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 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
- 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
- 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.
Your next step
Complete your application on thehartford.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
Source details
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- Pay
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- Location & working pattern
India GCC-Puppalaguda Village
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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