IND Applied AI Scientist
The Hartford (company site, opens in a new tab)3+ yrsOn-siteDirect career pageEst. 18–35 LPA
Posted on 18 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 and deep learning models, including experimentation, evaluation, deployment, and monitoring in production environments.
- Apply advanced NLP and Generative AI techniques, including embeddings, retrieval strategies, prompt engineering, and RAG solutions, to solve real-world business problems.
- Ensure AI model compliance with enterprise governance, privacy, ethical standards, and translate analytical outcomes into measurable business impact.
Minimum Requirements
- 3+ years of experience applying deep learning architectures in practical use cases.
- Proficient in Python with extensive experience in pandas, NumPy, scikit-learn, strong SQL skills; familiarity with PyTorch and/or TensorFlow preferred.
- Experience working with cloud-based AI platforms such as Google Vertex AI, AWS SageMaker, or Azure AI Services for model training and deployment.
- Experience with NLP, Generative AI techniques, and deploying models within complex enterprise environments.
Ideal Candidate Profile
- Experienced in full ML lifecycle including problem framing, experiment design, model evaluation/monitoring, and production validation.
- Skilled at operating in enterprise contexts with strong governance, compliance, and ethical standards adherence.
- Capable of communicating complex technical decisions and AI risks effectively to both technical and non-technical stakeholders.