Back
Tier-1 brand and metro locations increase competition, but senior mandate and niche generative-AI skills limit pool.
Role demands deep generative-AI and ML specialization, limiting cross-industry transferability.
Strict 14+ years, mandatory generative-AI expertise and specific tooling demand enforce high shortlisting rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development and implementation of AI/ML strategies focused on marketing domains with an emphasis on Generative AI technologies.
Collaborate across teams to identify and prioritize AI/ML initiatives, driving innovation and practical deployment.
Manage end-to-end AI/ML product development using Agile and DevSecOps practices with automation from code check-in to production in the full SDLC/AIDLC lifecycle.
8 to 15 years total experience with at least 8 years in AI/ML engineering and last 3 years focused on Generative AI technologies (e.g., OpenAI, Claude, LangChain).
Proficiency in AI/ML frameworks/tools like MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn and cloud platforms AWS, Azure, or GCP.
Experience with DevOps/CI-CD tools such as Git, Jenkins, Docker, Kubernetes.
Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
Senior AI/ML engineer with deep expertise in Generative AI technologies and practical product delivery experience in marketing domain or content supply chain.
Strong hands-on background in AI/ML model development, deployment automation, and cross-functional collaboration.
Experienced working in Agile and DevSecOps environments driving daily product updates across full AI/ML lifecycle.