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Generative AI role, mid-level experience, and metro location create high applicant competition.
Specialized ML/AI and generative AI requirements limit cross-industry transferability.
Explicit 4+ years plus mandatory ML, generative AI, cloud and programming skills make filtering strict.
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Design, build, and deploy machine learning and generative AI models for use cases including classification, forecasting, NLP, and generative AI.
Develop scalable data pipelines and operationalize AI solutions in production environments.
Collaborate cross-functionally to translate business challenges into AI applications and ensure model monitoring, governance, and lifecycle management.
4+ years of experience combined with a bachelor's degree in Computer Science, AI, Data Science, Engineering or related field, with at least 2 years of relevant industry experience.
Strong programming skills in Python and SQL and experience with machine learning frameworks and libraries.
Practical experience with Generative AI and Agentic AI implementation in enterprise settings.
Experience with cloud platforms (Azure, AWS, or GCP) and knowledge of data engineering concepts.
Experienced in developing and deploying large-scale or API-driven machine learning applications in production.
Capable of improving model performance and scalability with continuous optimization and experimentation.
Able to work effectively in cross-functional teams including Data Operations, Product, and Engineering, translating complex business needs into AI solutions.