Advanced AI/ML Software Engineer

21 hours ago

Nagpur, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000
Job Opportunity: AI/ML Software Engineer

As a seasoned AI/ML software engineer, you will play a pivotal role in designing, developing, and deploying cutting-edge artificial intelligence solutions at an enterprise level.

The ideal candidate will possess hands-on experience with computer vision architectures, deep learning models, and geospatial data processing. They will also have a strong foundation in programming languages like Python, with practical knowledge of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV.

Key Responsibilities:

  • Design and develop AI-powered GIS platforms using machine learning algorithms and computer vision techniques.
  • Collaborate with cross-functional teams to translate research into applied enterprise use cases.
  • Contribute to the development of real-time feature detection systems and multimodal, geospatially aware models.

Requirements:

  • 3–5 years of hands-on experience in implementing AI/ML solutions in enterprise or large-scale production environments.
  • Strong proficiency in programming languages like 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.
  • Hands-on exposure to geospatial toolkits/libraries (e.g., GDAL, GeoPandas, QGIS, ArcGIS APIs) and their integration with ML workflows.

Preferred Qualifications:

  • 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.
  • Strong ability to communicate AI/GIS solutions, collaborate with cross-functional teams, and translate research into applied enterprise use cases.

Why This Role?

This is an exceptional opportunity to leverage your technical expertise and passion for AI/ML to drive business growth and innovation. As a key member of our team, you will contribute to the development of cutting-edge AI solutions that transform industries and improve lives.

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