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Metro Bengaluru, generalist ML role, broad stack and mid-level experience attract many qualified applicants.
Advanced ML, computer vision and LLM expertise transferable across industries but require specialized domain knowledge.
Explicit 3–10 years, required CV, LLM, PyTorch, MLOps and full-stack skills create strict filters.
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Lead development, training, and validation of classical machine learning models focused on audience behavior and business problem-solving.
Perform data preprocessing, feature engineering, exploratory data analysis, and rigorous model evaluation to optimize model performance.
Collaborate with MLOps/DevOps teams for production deployment; work with cross-functional teams and mentor junior data scientists.
Bachelor's, Master's, or Ph.D. in Computer Science, AI, ML, or related quantitative field.
3 to 10 years hands-on experience developing and deploying AI/ML models with a focus on Computer Vision.
Strong proficiency in Python and deep learning frameworks such as PyTorch (preferred), TensorFlow, or Keras.
Experience with Multi Modal Large Language Models, MLOps tools (Docker, Kubernetes, Kubeflow, MLflow), and software engineering fundamentals including Git and CI/CD.
Experienced in both classical ML algorithms and deep learning architectures including CNNs, LSTMs, and Transformers with practical deployment experience.
Ability to develop simple UIs for model interaction or data annotation using tools like Streamlit, Gradio, or Flask/Django.
Strong collaborator comfortable working with large-scale datasets and cross-functional teams including product managers and engineers.