IND Staff Software Engineer
The Hartford (company site, opens in a new tab)3+ yrsOn-siteDirect career pageEst. 30–50 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end development and operationalization of machine learning models including problem framing, experiment design, evaluation, and production monitoring.
- Design and deploy AI/ML solutions using NLP, Generative AI, and cloud AI platforms while ensuring compliance with enterprise AI governance standards.
- Communicate complex modeling decisions, evaluation results, and risks to both technical and non-technical stakeholders to drive measurable business impact.
Minimum Requirements
- 3+ years of experience applying deep learning architectures in real-world use cases.
- Proficiency in Python, including pandas, NumPy, scikit-learn, and strong SQL skills; familiarity with PyTorch and/or TensorFlow preferred.
- Experience with cloud-based AI platforms (Google Vertex AI, AWS SageMaker, or Azure AI Services) and containerization supporting deployment workflows.
- Work Experience Required: Minimum 3 years in relevant machine learning and AI roles.
Ideal Candidate Profile
- Deep expertise in machine learning lifecycle management within complex enterprise or packaged application environments.
- Proven ability working with unstructured data, including document parsing, OCR, NLP, and Generative AI techniques such as embeddings, prompt engineering, and RAG solutions.
- Experienced in implementing AI governance, ethical standards, privacy, and compliance in model development and deployment.