AI/ML Software Architect

2 days ago

Jaipur, Rajasthan, India beBeeSoftware Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Software Architect

We are seeking an experienced AI/ML software architect to develop and deploy cutting-edge AI solutions.

Key Responsibilities:

  • Design, develop, and deploy AI/ML solutions using Python, TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV.
  • Develop Computer Vision architectures, including YOLO, SAM, U-Net, and other CNN-based models for real-time object detection, segmentation, and feature extraction.
  • Implement machine learning algorithms (supervised, unsupervised, and reinforcement learning) for classification, regression, and clustering.
  • Experience with 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.

Requirements:

  • 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.

Nice to Have:

  • Certifications in AI/ML, GIS, or cloud platforms (AWS, Azure, GCP).
  • Familiarity with scientific computing libraries (SciPy, Theano, Julia ecosystem).
  • Experience contributing to AI/GIS research publications, open-source projects, or innovation programs.
  • Knowledge of emerging paradigms such as federated learning, multi-agent systems, spatial AI, or Responsible AI practices.

What We Offer:

A competitive compensation package and opportunities for professional growth and development.

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