Chief AI Architect

1 week ago

Madurai, Tamil Nadu, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000

Job Overview

We are seeking an experienced Software Engineer – Machine Learning with 3–5 years of proven expertise in designing, developing, and deploying AI/ML solutions at an enterprise level.

The ideal candidate will bring hands-on experience in Computer Vision, Deep Learning, Generative AI, and GIS-based AI applications, along with strong programming, analytical, and solution-building skills.

Key Responsibilities:

  • Contribute to the development of AI-powered GIS platforms, multimodal and geospatially aware models, and real-time feature detection systems.
  • Design, develop, and deploy AI/ML solutions in enterprise or large-scale production environments.
  • Collaborate with cross-functional teams to communicate AI/GIS solutions and translate research into applied enterprise use cases.

Required Skills and Qualifications:

  • 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.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Others:

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

Could 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.

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