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Popular mid-level ML role in Bangalore with broad skillset and 5–8 year requirement, increasing competition.
Core ML, MLOps, and cloud skills are transferable across industries but agentic AI exposure adds medium specialization.
Explicit 5–8 year requirement plus mandatory ML, cloud, and MLOps skills raises filter strictness.
Translate complex business challenges into structured data science problems with measurable outcomes.
Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights.
Lead modeling decisions and collaborate with cross-functional teams to implement scalable data science solutions.
5 - 8 years of experience including at least 5 years in data science or analytics.
Advanced proficiency in Python or R for data wrangling and statistical analysis.
Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
Experience with data visualization tools, statistical modeling, machine learning algorithms, and familiarity with big data technologies and cloud platforms.
Experienced in leading technical decisions for modeling iterations balancing model performance and computational efficiency.
Skilled in collaborating with engineering and product teams to deliver scalable data science solutions.
Familiar with MLOps practices and promoting data-driven decision making across organizations.