AI/Machine Learning Software Engineer

7 days ago

Noida, Uttar Pradesh, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior AI/ML Software Developer Role

We are seeking an experienced Ai/Ml Engineer with 3-5 years of proven expertise in designing, developing, and deploying AI/ML solutions at a high level.

The ideal candidate will bring hands-on experience in:

  • Computer Vision, Deep Learning, Generative Ai, and GIS-based Ai applications
  • Strong programming, analytical, and solution-building skills

In this role, you will contribute to the development of AI-powered GIS platforms, multimodal and geospatially aware models, and real-time feature detection systems, playing a key role in the end-to-end lifecycle of enterprise-grade Ai/Ml solutions.

Main Responsibilities:

  • Designing, developing, and deploying Ai/Ml solutions in large-scale production environments
  • Implementing Ai/Ml algorithms for classification, regression, and clustering using supervised, unsupervised, and reinforcement learning techniques
  • Developing and training machine learning models using TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, Pandas, and OpenCV
  • Integrating Ai/Ml with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions
  • Ensuring high performance and interoperability with Ai workloads on enterprise-grade data platforms

Requirements:

  • 3-5 years of 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 for classification, regression, and clustering
  • Experience in Generative Ai and Large Language Models (Llm), 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

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