AI Developer Trainee – Survatra (6‑Month Traineeship) convertible to Perm

About Survatra   Survatra is an IT organization based in Noida, offering a hybrid work environment. We focus on solving business challenges such as timeliness, capacity crunch, and limited reach, equipping organizations with scalable IT solutions.

Role Overview   We are seeking a versatile Python Developer (Projects) with strong expertise in Convolutional Neural Networks (CNNs). The role involves designing, developing, and deploying AI solutions for vision‑based applications, with opportunities to contribute to multimodal systems.

Key Responsibilities

• Build and optimize CNN architectures for facial expression recognition (including micro‑expressions, valence/arousal, AUs), face landmarks, gaze estimation, head‑pose tracking, image classification, object detection, OCR, and video‑based affect analysis
• Develop hybrid vision pipelines using CNNs, Vision Transformers, 3D/temporal models, and multimodal fusion (audio–text–vision)
• Create modular, scalable workflows for face detection → alignment → expression inference → sentiment scoring, supporting real‑time edge/cloud inference and large‑scale video analytics
• Implement robust pre‑processing for lighting variation, occlusions (masks, glasses), and multi‑camera consistency
• Translate facial‑expression outputs into engagement metrics, stress/fatigue indicators, and behavioral insights; integrate emotion dashboards, adaptive UX, and personalized feedback loops
• Collaborate with product, UX, data, backend, and platform teams to define emotion KPIs, ensure ethical/regulated use, maintain interpretability, and integrate models into the broader AI stack
• Maintain clean, modular, reproducible code with versioned datasets, experiment tracking, and automated evaluation on facial‑expression benchmarks; ensure fairness and bias testing
• Support deployment and continuous improvement through drift detection, robustness monitoring, active learning, hard‑example mining, and domain adaptation across diverse environments

Must‑Have Skills

• Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras)
• Hands‑on experience with CNN architectures 
• Knowledge of computer vision tasks (classification, detection, OCR)
• Ability to design scalable, modular AI systems
• Solid understanding of data preprocessing, augmentation, and model evaluation

Preferred Skills

• Exposure to multimodal AI (vision + text) pipelines
• Familiarity with cloud deployment (AWS/GCP/ Azure)
• Experience with Docker/Kubernetes for model deployment

Employment Type

• Traineeship (6 months)
• Hybrid work model (Noida + WFH flexibility)
• May get converted permanent role (based on performance)