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Mid-level (5–7 yrs) GenAI role in metro draws moderate competition despite niche LLM requirements.
Specialized GenAI, LLM, and MLOps skills reduce cross-industry transferability, increasing background sensitivity.
Requires explicit 5–7 years plus strong GenAI, MLOps, Python, SQL and LLM experience, so filters are strict.
Analyze large complex datasets to identify trends, patterns, and business insights for AI/ML applications.
Design, develop, deploy, and optimize AI, Generative AI, and large language model-based solutions addressing business and operational use cases.
Lead end-to-end development including data pipelines, Python application development, integration with cloud and enterprise systems, and continuous AI system improvement.
Bachelor’s degree in Computer Science, Data Science, Engineering, AI, or related field; advanced degrees or certifications preferred.
5–7 years experience in data science, advanced analytics, AI engineering, or related roles.
Strong proficiency in Python and SQL, including complex querying and performance tuning.
Hands-on experience with Generative AI, large language models, AI frameworks (e.g. TensorFlow, PyTorch), and cloud AI/ML service deployment.
Experienced in building scalable AI solutions involving LLMs, prompt engineering, RAG, and vector databases for enterprise use cases.
Comfortable leading Python-based AI application development and collaborating across technical and business stakeholders.
Familiar with MLOps/LLMOps, CI/CD, responsible AI practices, and domain-specific knowledge in industrial systems is a plus.