AI engineer-5

TVH — Pune

Key Responsibilities Model Development & Optimization · Independently design and train robust, reusable AI/ML models using frameworks like Kubeflow, PyTorch, TensorFlow, or HuggingFace. · Apply advanced techniques in deep learning, NLP, computer vision, and classical ML, ensuring models are explainable and scalable. · Optimize models for accuracy, speed, and resource efficiency, and collaborate with Data Engineers on deployment readiness. AI/ML System Design · Translate business use cases into scalable AI model architectures, including design of pre-processing strategies and feature engineering approaches. · Ensure alignment between data characteristics, model architecture, and expected system behavior in production. · Collaborate on integration patterns with Data Engineers to embed AI models in downstream workflows. Documentation & Standards · Write clear documentation on model assumptions, architecture choices, evaluation criteria, and recommended usage. · Contribute to the standardization of model development guidelines within the AI team to ensure reproducibility and traceability. Stakeholder Collaboration & Delivery · Support scoping and delivery of AI features and enhancements within broader data product initiatives. · Partner with domain experts, business stakeholders, and functional analysts to iterate on model design and results interpretation. · Adapt solutions based on feedback and performance monitoring, ensuring business value is realized. Innovation & Capability Building · Stay up to date on emerging AI/ML methods, tools, and frameworks, and explore how these can improve our modeling practices. · Share findings and contribute to team learning sessions, playbooks, or prototyping initiatives. Security & Compliance in AI · Design models with appropriate data privacy, access control, and bias mitigation considerations. · Ensure models meet compliance, governance, and interpretability standards relevant to the business context. Mentoring & Community · Mento

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