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Tier-1 brand plus mid-level ML manager role with broad skills drives high competition.
Core ML engineering skills are transferable, but consulting and client-facing requirements moderate industry fit.
Explicit 6+ years requirement plus mandatory ML expertise and leadership increases shortlisting strictness.
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Design and implement AI systems and scalable machine learning models to transform raw data into actionable business insights.
Lead and mentor teams, manage performance, and oversee data pipelines and AI infrastructure to meet client expectations.
Apply programming languages (Python, Java) and advanced AI techniques like deep learning to build and deploy AI and machine learning solutions at scale.
Bachelor's degree required.
Minimum 6 years of work experience.
Proficiency with AI/ML implementation, programming languages such as Python and Java, and familiarity with data engineering and cloud platforms is implied but not explicitly stated as mandatory.
Up to 80% travel may be required.
Background in fields such as Management Information Systems, Computer Science, Engineering, Mathematics, Statistics, AI, or related disciplines.
Holds certifications in data engineering, machine learning, or cloud platforms (AWS, Google Cloud, Azure, Databricks, Snowflake) or similar credentials.
Demonstrated experience leading complex AI projects, coaching teams, and embracing innovation and change within technology consulting environments.