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Tier-1 brand, mid-level ML/GenAI role in a metro with broad skills attracts high candidate density.
Core GenAI skills are transferable, but healthcare HIPAA and compliance raise industry-specific sensitivity.
Mandatory GenAI, AWS/SageMaker, and compliance (HIPAA) experience creates stringent filters.
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Develop, fine-tune, and deploy Generative AI models including LLMs and diffusion models.
Build and maintain scalable AI pipelines for data ingestion, training, evaluation, and production deployment using MLOps tools.
Collaborate with cross-functional teams to translate business needs into explainable, fair AI solutions and monitor model performance over time.
3 to 5 years of experience in AI/ML development.
Bachelor’s degree in engineering.
Proficiency in Python programming and AWS cloud services including SageMaker and Bedrock.
Experience with designing, fine-tuning, and deploying generative AI models (e.g., LLMs, diffusion models).
Experienced working with GenAI platforms and models such as Claude, LLaMA, Gemini, Mistral, and Falcon.
Skilled in prompt engineering, fine-tuning techniques (LoRA, PEFT), and building agent-based AI systems.
Familiar with event-driven/serverless architectures and CI/CD pipelines for GenAI, plus knowledge of model monitoring and security compliance.