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Multiple amplifiers: popular ML role, metro Bangalore, broad skillset, and a recognized global brand.
Core ML/AI skills transfer across industries, but CV and LLM specialization requires some domain-specific experience.
Explicit 3–10 years plus mandatory CV, LLM, PyTorch, MLOps, and production deployment experience.
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Lead development and implementation of classical and deep learning AI/ML models to analyze audience behavior and solve business problems.
Responsible for data preprocessing, feature engineering, exploratory data analysis, model evaluation, optimization, and collaboration with MLOps for production deployment.
Communicate technical concepts effectively, mentor juniors, and stay updated with advancements in AI/ML and data science.
Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field.
3 to 10 years of hands-on experience developing and deploying AI/ML models with a strong focus on Computer Vision.
Proficiency in Python and deep learning frameworks such as PyTorch (preferred), TensorFlow, or Keras.
Experience with Multi Modal Large Language Models (LLMs), MLOps principles and tools (Docker, Kubernetes, Kubeflow, MLflow), and software engineering practices including Git versioning.
Experience architecting and handling full lifecycle of machine learning solutions, including classical algorithms and advanced neural networks.
Skilled in working with large, complex datasets and building scalable AI/ML systems integrated with production workflows.
Able to develop simple user interfaces for model interaction and data annotation, indicating full-stack understanding and collaboration across tech teams.