High-Performance AI/ML Developer

6 days ago

Cochin, Kerala, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000
AI/ML Software Engineer

We're seeking an experienced AI/ML software engineer to join our team.

  • This role involves designing, developing and deploying AI/ML solutions at an enterprise level.

You will have a strong background in programming proficiency in Python with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV.

The ideal candidate will have hands-on experience in implementing AI/ML solutions in enterprise or large-scale production environments.

Key Responsibilities:
  • Design, develop, and deploy AI/ML solutions at an enterprise level.
  • Work with geospatial datasets, satellite imagery, and spatial analytics to deliver practical solutions.
  • Evaluate, deploy, and scale AI/ML models.
Requirements:
  • Strong programming proficiency in Python with practical use of TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas, and OpenCV.
  • Hands-on experience in implementing AI/ML solutions in enterprise or large-scale production environments.
  • 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.
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.
Certifications and Education:
  • 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.

No budget is specified for this position. The company does not provide benefits information for this job. Please note that the available information may be incomplete or inaccurate.

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