AI/ML Engineer

1 week ago

Mysore, Karnataka, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 30,00,000

Machine Learning Software Engineer

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  • We are seeking a highly skilled Machine Learning Software Engineer to join our team.">
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About the Role:

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The ideal candidate will have hands-on experience in designing, developing, and deploying AI/ML solutions at an enterprise level. They should be proficient in programming languages such as Python, with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV.

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Key Responsibilities:

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  2. Design and develop AI/ML models for real-time object detection, segmentation, and feature extraction using Computer Vision architectures.">
  3. Implement machine learning algorithms (supervised, unsupervised, and reinforcement learning) for classification, regression, and clustering.">
  4. Develop and deploy Generative AI and Large Language Models (LLMs), including transformers, diffusion models, multimodal pipelines, and speech-to-text/NLP solutions.">
  5. Work with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions.">
  6. Ensure high performance and interoperability with AI workloads using enterprise-grade data platforms.">
  7. Collaborate with cross-functional teams and communicate AI/GIS solutions effectively.">
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Requirements:

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  • 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.">
  • Experience in Generative AI and Large Language Models (LLMs), including transformers, diffusion models, multimodal pipelines, and speech-to-text/NLP solutions.">
  • Familiarity with scientific computing libraries (SciPy, Theano, Julia ecosystem).">
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Bonus Points:

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  • Certifications in AI/ML, GIS, or cloud platforms (AWS, Azure, GCP).">
  • 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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