Software Engineer – Python (AI)

Key Responsibilities :

• Conduct original research on generative AI models, focusing on architectures, training methods, fine-tuning, and evaluation strategies.
• Build Proof of Concepts (POCs) with emerging AI innovations and assess feasibility for production deployment.
• Design and experiment with multimodal generative models (text, image, audio, and other modalities).
• Develop autonomous, agent-based AI systems (agentic AI) capable of adaptive decision-making.
• Lead the design, training, fine-tuning, and deployment of generative AI systems on large-scale datasets.
• Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration.
• Manage data preprocessing and feature engineering, including cleaning, normalization, dimensionality reduction, and feature selection.
• Evaluate and validate models using industry-standard benchmarks, iterating to achieve target KPIs.
• Provide technical leadership and mentorship to junior researchers and engineers.
• Document research findings, model architectures, and experimental outcomes in technical reports and publications.
• Stay updated with latest advancements in NLP, deep learning, and generative AI, fostering innovation within the team.

Mandatory Technical & Functional Skills :

Preferred Technical & Functional Skills :

Behavioral Attributes :

Skills Required

Pytorch, Tensorflow, Cnn, Rnn, Cloud Computing