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Popular AI/ML role, mid-level expectations, metro location, and broad skillset make applicant competition high.
ML/AI skills are fairly transferable but LLM and CV specialization increases domain sensitivity.
Many mandatory technical skills (LLMs, DL, PyTorch, cloud) but no years requirement, so medium strictness.
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Design, develop, and deploy AI/ML applications aligned with business goals.
Research and implement machine learning algorithms, fine-tune models including Large Language Models (LLMs).
Collaborate on functional design, prototyping, testing in an agile environment with ownership of deliverables.
Experience in deep learning subfields: NLP, Speech, or Computer Vision.
Proficiency with ML frameworks such as PyTorch or TensorFlow.
Strong Python programming skills with adherence to best practices.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in developing and fine-tuning advanced AI models including LLMs.
Comfortable working in a fast-paced, agile environment with cross-functional teams.
Experienced with cloud platforms like AWS, Azure, or GCP for high performance implementations.