Artificial Intelligence Engineer

2 weeks ago

Jamnagar, Gujarat, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title

Software Engineer – Machine Learning is a pivotal role where you will design, develop, and deploy cutting-edge AI/ML solutions.



Key Responsibilities
  • Develop and deploy AI/ML solutions at an enterprise level with hands-on experience.
  • Bring expertise in Computer Vision, Deep Learning, Generative AI, and GIS-based AI applications.
  • Contribute to the end-to-end lifecycle of enterprise-grade AI/ML solutions.


RequirementsMust Have
  • Hands-on experience 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.
  • 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.
Should Have
  • 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.
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.
What We Offer

A dynamic and innovative work environment that fosters growth and collaboration.

As a Software Engineer – Machine Learning you will have the opportunity to work on cutting-edge projects develop your skills and contribute to the advancement of AI/ML technologies.

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