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Tier-2 brand plus mid-level GenAI role creates moderate candidate competition.
Core ML/GenAI skills are transferable, but client-focused solution delivery increases domain specificity.
Mandatory cloud, Python, GenAI deployment and orchestration experience enforces moderately strict screening.
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Develop and refine prompts for generative AI models to produce accurate, contextually relevant outputs aligned with project goals.
Collaborate with data scientists and AI developers to fine-tune model parameters and improve GenAI solution performance through experimentation and analysis.
Design, implement, and manage GenAI solutions tailored to client business requirements, leveraging AI and analytics tooling.
Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, or related field; Master's degree is a plus.
Experience in development and deployment of Generative AI solutions using AI tools and platforms like SageMaker GenAI.
Proficiency in Python and SQL scripting languages.
Mandatory experience with at least one cloud service platform: AWS, GCP, or Azure.
Demonstrated ability in prompt engineering, generative models, and fine-tuning techniques within AI/ML environments.
Experience working in cross-functional teams including data scientists and AI developers to deliver AI-powered business solutions.
Exposure to orchestration tools such as Airflow, Step Functions, or Ctrl-M, and analytics platforms for scalable AI implementation.