
AI Solutions Developer
21 hours ago
Job Title: AI Solutions Developer
About the Role:
We are seeking a seasoned AI/ML solutions developer with 3–5 years of hands-on experience in designing, developing, and deploying intelligent solutions at an enterprise level.
Key Responsibilities:
- Design, develop, and deploy AI/ML solutions using Python and relevant frameworks (e.g., TensorFlow, PyTorch, Keras)
- Implement Computer Vision architectures, including YOLO, SAM, U-Net, and other CNN-based models for real-time object detection, segmentation, and feature extraction
- Develop machine learning algorithms (supervised, unsupervised, and reinforcement learning) for classification, regression, and clustering
- Integrate AI/ML with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions
- Contribute to the development of AI-powered GIS platforms, multimodal and geospatially aware models, and real-time feature detection systems
Required Skills and Qualifications:
- 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
- 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)
- 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
- 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
Benefits and Advantages:
- Collaborate with cross-functional teams to deliver cutting-edge AI/ML solutions
- Develop skills in emerging technologies, such as edge AI, explainable AI, and human-AI collaboration
- Work on diverse projects with global impact, leveraging your expertise in computer vision, NLP, and geospatial analysis
- Take advantage of continuous learning opportunities, including conferences, workshops, and online courses
Other Opportunities:
Apply now to join our dynamic team of experts in AI/ML development. We look forward to welcoming talented individuals who share our passion for innovation and excellence in software development.
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