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Mid-level AI role, metro location, and broad skillset increase candidate competition.
ML engineering skills transfer across industries, though banking project focus adds moderate domain bias.
Explicit 4–6 years, mandatory degree and ML framework experience create high shortlisting strictness.
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Design, develop, and deploy AI models and systems, leading projects from development to deployment.
Collaborate with cross-functional teams to identify AI opportunities and preprocess and analyze large datasets for insights.
Optimize AI models for performance and scalability while ensuring adherence to ethical standards and compliance regulations.
4-6 years of experience in AI and machine learning.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
Proficiency in programming languages such as Python, R, or Java and AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Hybrid work mode based in Chennai.
Experienced AI engineer capable of leading and mentoring junior engineers and managing AI projects end-to-end.
Comfortable working collaboratively across teams and driving AI solutions that meet ethical and compliance standards.
Strong background in data preprocessing, model optimization, and familiarity with latest AI advancements and tools.