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Strong Tier-1 brand, metro location, and a mid-level generalist AI role drive high competition.
Core AI/ML skills transfer across industries, but enterprise integrations and compliance demand domain familiarity.
Explicit 4-6 years plus mandatory LLM, MLOps, cloud, Python, and compliance requirements make screening stringent.
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Develop, fine-tune, deploy, and scale AI models including large language models (e.g., GPT-4) with secure integration into enterprise platforms.
Design and implement prompt engineering strategies and build end-to-end data pipelines for AI accuracy and timely data delivery.
Lead AI pilot projects from use case identification through prototyping to deployment within cloud environments, ensuring compliance and risk management.
Typically 4-6 years of advanced experience in AI and machine learning solution development and deployment.
Advanced proficiency in Python programming and expertise with LLMs and prompt engineering.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with knowledge of security and compliance requirements.
Strong technical expert with a focus on full-stack AI solution lifecycle including model development, API integration, and cloud deployment.
Experienced in aligning AI technical solutions with business needs and measurable outcomes, engaging directly with clients and stakeholders.
Operates effectively within hybrid work settings managing multiple AI projects requiring deep domain and compliance knowledge.