Back
Tier-1 brand, senior ML title, metro location and broad AI skillset elevate competitive density.
High due to specialized ML/GenAI, MLOps and regulated/GxP requirements making cross-industry moves harder.
Explicit 8-13 years, required production ML/GenAI ownership, platform and regulated-delivery skills enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end development and delivery of AI assets or significant technical workstreams including problem framing, architecture, model/system development, launch, and measurable business outcomes.
Lead hands-on creation of production AI/ML software, including pipelines, models, deep learning, NLP, GenAI/RAG agents, APIs, and workflow orchestration.
Establish and maintain MLOps/LLMOps lifecycle including observability, monitoring, versioning, security, governance, and cross-functional coordination.
Bachelor’s or Master’s degree in Computer Science, IT or related field with 8 to 13 years of relevant experience.
Proven end-to-end ownership of at least one production ML, Generative AI, software, data or automation system delivering measurable outcomes.
Strong proficiency in Python and SQL; experience with production software and services design.
Not explicitly mentioned: Notice period or location requirements.
Demonstrates advanced skills in at least one pillar: Applied Machine Learning, Generative AI (GenAI) / RAG / AI agents, or ML platforms and MLOps with broad lifecycle expertise.
Operates effectively in complex production environments requiring integration of AI, data, software engineering, security, and governance.
Experienced leading technical design decisions, mentoring engineers, and collaborating cross-functionally to drive accountable AI product outcomes.