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Strong brand plus hybrid, mid-level ML role in metro creates high applicant competition.
Specialized LLM and ML skills narrow domain fit, though Python and API skills remain transferable across industries.
Explicit 3–5 year requirement plus mandatory LLM/Python skills and AI experience makes filters strict.
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Develop, test, and maintain Python-based applications and AI/ML solutions, focusing on Large Language Models (LLMs) fine tuning and prompt engineering.
Assist in building, deploying, and optimizing Generative AI applications and AI-powered APIs within enterprise environments.
Collaborate with senior developers and stakeholders, participate in code reviews, and create technical documentation for AI/ML projects.
3 to 5 years of software development experience with relevant Python and AI/ML exposure.
Bachelor's degree in Computer Science or related field.
Hands-on experience with Python programming, Object Oriented Programming, and familiarity with AI/ML libraries such as Transformers, Hugging Face, or OpenAI ecosystems.
Experience in working with AI concepts including Large Language Models, model fine tuning, prompt engineering, and APIs (REST, JSON).
Experienced in deploying and optimizing AI/ML models, especially Large Language Models, within an agile development environment.
Candidate who can integrate AI solutions using cloud AI services (Azure, AWS, Google Cloud) and AI tooling (Git, Jupyter).
Capable of collaborating cross-functionally with architects and business teams, adapting to rapid technology changes in Generative AI.