Sr Machine Learning Engineer
$117.2k/y-$175.8k/y
4 days ago
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HybridFull-timeSenior
Summary
The Hartford is seeking a Senior Machine Learning Engineer to join their Personal Lines Data Analytics team in a hybrid role based in Columbus, OH. The position focuses on building and scaling Machine Learning Operations (MLOps) and Generative AI (GenAI) platforms.
About the Role
As a Senior Machine Learning Engineer, you will blend software engineering, DevOps, and machine learning expertise to deliver robust, scalable, and secure AI/ML solutions. Your responsibilities will include researching and implementing frameworks for AI/ML decision-making, collaborating with various teams, mentoring junior engineers, and ensuring the deployment of models in production environments using Google Cloud Platform (GCP) and AWS.
About You
Required:
- Bachelor's degree in a related field and 5+ years of experience.
- Solid understanding of the ML lifecycle: model training, deployment, monitoring, and feedback loops.
- Strong application development experience using Python.
- 3+ years of hands-on experience with public cloud services including auto-scaling systems.
- Experience with CI/CD and IAC tools (e.g., Terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).
- Good understanding of Generative AI technologies and frameworks.
Preferred:
- Development experience for WebService API with AWS tools.
- Familiarity with big data technologies (Hadoop, Spark, Hive) and RDBMS.
- Hands-on experience with GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE.
- Basic understanding of ML frameworks (TensorFlow, Scikit Learn).
- Experience with Agile framework and scrum/Kanban project management.
Benefits
- Competitive salary with an annualized base pay range of $117k–$176k.
- Short-term and annual bonuses, long-term incentives, and on-the-spot recognition.
- Hybrid work schedule with flexibility.
The Hartford
Showing up for people isn’t just what we do. It’s who we are – for over 200 years. And while it looks different every day, we do more to innovate for our customers, our communities and our employees. Because you put your trust in us.
Columbus, OH