The Hartford
Data & AI Engineering Professionals (Data Engineering, Analytics, AI/ML & Reliability Engineering)
Employment
Full-timeFrom the employer
Full time
Level
Not statedCategory
Data & MLCountry assessment
Not doable from Austria because it is tied to an office and never says it can be done remotely.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
IND Evergreen Requisition - GCC141
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.
- Data Engineer (2 to 12 Years) - Data Engineering, Pyspark, Snowflake/Databricks, ETL/ELT, GCP/AWS, RAG, Vertex AI
- Data Analyst (2 to 9 Years) - Data Analysis, SQL, Python, Stakeholder Management
- Data Reliability Engineer (2 to 9 Years) - Data Reliability, SRE, Snowflake, AWS/GCP, Informatica, Python/Pyspark, EMR/Hadoop
- AWS EMR Engineer (6 to 9 Years) - Bigdata Platforms, Hadoop. AWS EMR, Platform Administration, AWS Services
- AI/ML Engineer (2 to 12 Years) - AI/ML, Generative AI & Agentic AI Solutions, RAG, Python, FastAPI, GCP, Vertex AI
- Applied AI Scientist (2 to 12 Years) - Applied AI, Statistical Modelling, Machine Learning, Python, Scikit Learn, SQL, PyTorch, GCP, Vertex AI
- Site Reliability Engineer (6 to 9 Years) - SRE, Terraform, AWS/GCP, ML/AI Platforms, Python to build automation tools