Advanced AI Architect

20 hours ago

Meerut, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior AI Engineer Position

We are seeking a highly skilled Senior AI Engineer to join our team.

  • Job Description:

    This is an exciting opportunity for a seasoned AI engineer with extensive experience in designing, developing and deploying AI/ML solutions at an enterprise level. Our ideal candidate will have a proven track record of successfully implementing complex AI projects and working effectively in a collaborative environment.

  • Required Skills and Qualifications:
    • Hands-on experience in implementing AI/ML solutions in 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:
      • Opportunity to work on cutting-edge AI/ML projects and collaborate with a talented team of engineers.
      • Flexible work arrangements and a competitive compensation package.
      • Professional development opportunities and access to the latest technologies and tools.
    • 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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