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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, mid-level ML role with broad required skills increases candidate competition.
Role demands specialized ML/LLM, MLOps and cloud skills, making cross-industry transferability low.
Specific years plus required ML, MLOps, Python, PySpark, GCP and LLM expertise implies high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Translate complex business challenges into data-driven solutions through advanced modeling and analysis.
Develop, test, validate, and deploy machine learning and deep learning models at scale, including NLP and multi-modal models.
Collaborate cross-functionally to align insights with business objectives and communicate findings effectively through data visualization.
Minimum Requirements
Bachelor's degree with >7 years experience, or Master's with >5 years, or PhD in Computer Science/Statistics/Mathematics with >3 years experience.
Strong experience in machine learning techniques including NLP, classification, deep learning, embedding generation, vector databases, LLM agents, prompt engineering, and model monitoring.
Proficiency in Python, PySpark, Google Cloud Platform, and model deployment with big data platforms.
Location requirement: Based in Bangalore or Chennai office with daily work onsite; flexibility for personal life management.
Ideal Candidate Profile
Experienced in building and scaling AI/ML models for product catalog quality and search relevance improvements, especially with NLP and generative AI.
Skilled in end-to-end model lifecycle including development, deployment, MLOps, and governance in cloud-based big data environments.
Capable communicator who can translate analytical insights into business decisions aligned with cross-functional teams in a fast-paced, global retail tech setting.