Senior AI/ML Developer

2 days ago

Kanpur, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 18,00,000 - ₹ 25,00,000

Job Overview

We are seeking a highly skilled Software Development Engineer with Machine Learning Expertise to contribute to the development of innovative AI-powered GIS platforms, multimodal and geospatially aware models, and real-time feature detection systems.

This is a unique opportunity for an experienced professional to bring their expertise in designing, developing, and deploying AI/ML solutions at an enterprise level. The ideal candidate will have hands-on experience in Computer Vision, Deep Learning, Generative AI, and GIS-based AI applications.

The successful candidate will be responsible for contributing to the end-to-end lifecycle of enterprise-grade AI/ML solutions, including data preprocessing, model training, evaluation, deployment, and scaling.

Required Skills and Qualifications:
  • -3–5 years of hands-on experience in implementing AI/ML solutions in enterprise or large-scale production environments
  • -Strong programming proficiency in Python with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV
  • -Proven experience with Computer Vision architectures, including YOLO, SAM, U-Net, and other CNN-based models for real-time object detection, segmentation, and feature extraction
  • -Expertise in image classification using advanced CV models (e.g., ResNet, VGG, YOLOv5/v8, EfficientNet)
  • -Deep understanding and implementation experience of machine learning algorithms (supervised, unsupervised, and reinforcement learning) for classification, regression, and clustering
  • -Experience in Generative AI and Large Language Models (LLMs), including transformers, diffusion models, multimodal pipelines, and speech-to-text/NLP solutions
  • -Strong foundation in mathematics, statistics, data structures, algorithms, and optimization techniques
  • -Hands-on experience with RNNs/LSTMs, hybrid neural architectures, and temporal/spatiotemporal modeling
  • -Practical knowledge of Agentic AI systems (AI agents, multi-agent workflows, or autonomous agent design)
  • -GIS domain expertise – demonstrated ability to integrate AI/ML with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions
  • -End-to-end experience in AI/ML solution lifecycle – from data preprocessing, model training, evaluation, deployment, and scaling

Benefits:
  • -Contribute to cutting-edge AI/ML projects that drive innovation and business growth
  • -Collaborate with cross-functional teams to develop and deploy AI-powered solutions
  • -Work on complex technical problems and develop creative solutions
  • -Stay up-to-date with emerging technologies and trends in AI/ML and GIS

Others:
  • -Working knowledge of MLOps/LLMOps workflows for scalable, automated AI/ML deployments (CI/CD, containerization, orchestration)
  • -Experience with enterprise-grade data platforms ensuring high performance and interoperability with AI workloads
  • -Practical exposure to geospatial feature extraction, change detection, and segmentation workflows

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