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Popular ML role, Bangalore metro location, and broad skill requirements increase applicant competition.
ML engineering skills are broadly transferable across industries.
1+ years requirement and mandatory ML frameworks moderately restrict candidate pool.
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Design, develop, train, test, deploy, and optimize machine learning models for business applications.
Process structured and unstructured data including feature engineering; implement AI/ML algorithms primarily using Python and relevant libraries/frameworks.
Collaborate with cross-functional teams and stakeholders to understand requirements, deliver AI-driven solutions, and present technical findings.
1+ years of experience in AI/ML development.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field.
Strong proficiency in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.
Experience with data manipulation including SQL; familiarity with cloud platforms (Azure, AWS, GCP) preferred.
Experience operating across data preprocessing, feature engineering, model development, and deployment indicating strong end-to-end ML lifecycle ownership.
Comfortable working in collaborative, cross-functional environments involving data engineers, developers, and business stakeholders.
Has practical knowledge or exposure to newer AI domains such as Generative AI, LLMs, NLP, or Computer Vision, plus familiarity with MLOps and CI/CD pipelines is advantageous.