Job Location : Chennai, Pune, Noida, Kochi, Bangalore, Trivandrum

Experience : 10 Yr

CTC Budget : 3500000 to 3500000

Posted At : 17-Dec-2025

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•        7+ years of experience in machine learning, with a focus on forecasting, optimization, and causal inference.

•        3+ years of experience in big data processing and cloud-native infrastructure.

•        Proficiency in Python, SQL, and ML libraries such as scikit-learn, Prophet, and optimization tools.

•        Experience with Azure, Databricks, Docker, Kubernetes, and FastAPI.

•        Strong understanding of retail domain including assortment planning, inventory optimization, and promotional analytics.

•        Proven track record of deploying real-time ML systems and delivering measurable business impact (e.g., 3–5% sales lift).

•        Lead the development of fruit defect detection models using object detection and image segmentation techniques.

•        Design and implement deep learning pipelines using frameworks like PyTorch or TensorFlow.

•        Work closely with domain experts to define defect categories and edge cases (e.g., bruises, rot, discoloration, deformities).

•        Build, manage, and optimize data pipelines—including dataset curation, labeling workflows, and augmentation strategies.

•        Ensure high model performance in terms of accuracy, recall, and inference speed—across diverse lighting and background conditions.

•        Collaborate with product and engineering teams to deploy models to production (cloud or edge-based inference).

•        Research and apply cutting-edge computer vision techniques (e.g., YOLOv8, EfficientDet, Mask R-CNN, ViTs, or DETR).

•        Lead and mentor junior ML engineers and researchers.

•        Own model evaluation and explainability tools for business and QA teams.

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Requirements

•        7+ years of experience in AI/ML with a focus on computer vision and deep learning.

•        Strong expertise in object detection and image classification techniques.

•        Proven experience working with real-world noisy image datasets and model optimization.

•        5+ years in Python and frameworks such as PyTorch or TensorFlow.

•        Familiar with tools such as OpenCV, Label Studio, Roboflow, or CVAT.

•        Solid understanding of CNNs, transfer learning, and data-centric AI practices.

•        Experience deploying models in production environments (REST APIs, ONNX, TensorRT, etc.).