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Mid-level ML role in Bangalore, popular title, broad required skills, and metro location make competition high.
Core ML, Python, MLOps skills transfer across industries, though multimodal and video experience adds some specialization.
Explicit 5–9 years and mandatory LLM, MLOps, Python, and deployment skills increase shortlisting strictness.
Lead development and deployment of classical and deep learning AI/ML models to solve business problems using audience and complex datasets.
Perform data preprocessing, feature engineering, exploratory data analysis, model evaluation, hyperparameter tuning, and collaborate with MLOps teams for production deployment.
Research, select, and customize ML algorithms; mentor junior data scientists and communicate technical insights to diverse stakeholders.
5 to 9 years of hands-on experience in AI/ML model development and deployment.
Bachelor's, Master's, or Ph.D. in Computer Science, AI, ML, or related quantitative field.
Expert proficiency in Python including libraries like Scikit-learn, Pandas, NumPy.
Proficient in SQL, version control (Git), and experience with MLOps tools (Docker, Kubernetes, MLflow).
Experienced with classical ML and deep learning architectures (CNNs, LSTMs, Transformers) and Multi-Modal Large Language Models (LLMs).
Strong software engineering background including code versioning, testing, CI/CD, and developing simple UIs for model interaction or data annotation.
Demonstrated ability to lead technical projects, mentor team members, and collaborate cross-functionally in dynamic environments.