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Mid-level GenAI role in Bangalore with popular LLM skills attracts many applicants, increasing competition.
Deep GenAI, LLM, and MLOps expertise required makes cross-industry transfers difficult.
Explicit 4–9 years plus 3+ years GenAI and mandatory LLM/MLOps skills make filters strict.
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Lead design, development, and deployment of scalable GenAI and NLP-driven AI solutions across enterprise platforms.
Mentor junior AI/ML/Data Science team members and guide AI technology evaluation and adoption.
Ensure AI projects comply with governance, risk, and compliance standards while delivering measurable business value.
4–9 years of experience in AI/ML/Data Science with at least 3 years focusing on Generative AI or NLP.
Proficiency in Python and hands-on experience with LLMs such as OpenAI or AWS Bedrock.
Experience deploying AI models on cloud platforms (AWS, Azure, or GCP) and knowledge of AI model governance, data privacy, and security.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Experienced in leading production AI projects integrating GenAI/NLP with cloud-native and serverless architectures.
Comfortable managing cross-functional collaboration involving product, engineering, and risk/compliance teams.
Strong technical leadership with ability to evaluate emerging AI technologies and operationalize AI solutions in regulated environments.