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 transparent 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
· Me
📌 AI engineer-5 (Pune)
🏢 TVH
📍 Pune